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-    <a class="nav-link" href="/Blogs/notes/index.html" rel="" target="">
+    <a class="nav-link active" href="/Blogs/notes/index.html" rel="" target="" aria-current="page">
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+        <li class="sidebar-item sidebar-item-section">
+      <div class="sidebar-item-container"> 
+            <a href="/Blogs/notes/index.html" class="sidebar-item-text sidebar-link">
+ <span class="menu-text">Notes</span></a>
+          <a class="sidebar-item-toggle text-start" data-bs-toggle="collapse" data-bs-target="#quarto-sidebar-section-1" aria-expanded="true" aria-label="Toggle section">
+            <i class="bi bi-chevron-right ms-2"></i>
+          </a> 
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+      <ul id="quarto-sidebar-section-1" class="collapse list-unstyled sidebar-section depth1 show">  
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 </li>
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+          <li class="sidebar-item">
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  <span class="menu-text">Internet</span></a>
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@@ -199,15 +224,15 @@
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+          <li class="sidebar-item sidebar-item-section">
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-          <a class="sidebar-item-toggle text-start" data-bs-toggle="collapse" data-bs-target="#quarto-sidebar-section-2" aria-expanded="true" aria-label="Toggle section">
+          <a class="sidebar-item-toggle text-start collapsed" data-bs-toggle="collapse" data-bs-target="#quarto-sidebar-section-3" aria-expanded="false" aria-label="Toggle section">
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           </a> 
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-      <ul id="quarto-sidebar-section-2" class="collapse list-unstyled sidebar-section depth1 show">  
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@@ -215,6 +240,8 @@
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@@ -139,33 +139,42 @@
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+ <span class="menu-text">Notes</span></a>
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new file mode 100644
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+      <button type="button" class="quarto-btn-toggle btn" data-bs-toggle="collapse" data-bs-target="#quarto-sidebar,#quarto-sidebar-glass" aria-controls="quarto-sidebar" aria-expanded="false" aria-label="Toggle sidebar navigation" onclick="if (window.quartoToggleHeadroom) { window.quartoToggleHeadroom(); }">
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+      <nav class="quarto-page-breadcrumbs" aria-label="breadcrumb"><ol class="breadcrumb"><li class="breadcrumb-item">FastAI Projects</li></ol></nav>
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+        <div id="quarto-search" class="" title="Search"></div>
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+        </div>
+    <div class="sidebar-menu-container"> 
+    <ul class="list-unstyled mt-1">
+        <li class="sidebar-item sidebar-item-section">
+      <div class="sidebar-item-container"> 
+            <a href="../../notes/index.html" class="sidebar-item-text sidebar-link">
+ <span class="menu-text">Notes</span></a>
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+
+<table class="table">
+<thead>
+<tr class="header">
+<th>Projects</th>
+<th>Link</th>
+<th>Description</th>
+<th>Lesson Relation</th>
+</tr>
+</thead>
+<tbody>
+<tr class="odd">
+<td>Pokemon Classifier</td>
+<td><a href="https://github.com/AgastyaPatel/FastAI-course/issues/2">Thread</a>, <a href="https://huggingface.co/spaces/AgastyaPatel/Pokemon-Classifier">HF-Spaces</a></td>
+<td>Created pokemon classifier, compared the performance of few models, by looking into their history; finding good learning rate and understanding it’s usage.</td>
+<td>1,2</td>
+</tr>
+<tr class="even">
+<td>MNIST Classifier</td>
+<td></td>
+<td></td>
+<td></td>
+</tr>
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\ No newline at end of file
diff --git a/blogs/FastAI/index.html b/blogs/FastAI/index.html
index dda63ae..0c92bc4 100644
--- a/blogs/FastAI/index.html
+++ b/blogs/FastAI/index.html
@@ -163,7 +163,7 @@
 
 <header id="title-block-header" class="quarto-title-block default">
 <div class="quarto-title">
-<h1 class="title">FastAI Journey</h1>
+<h1 class="title">FastAI Projects</h1>
   <div class="quarto-categories">
     <div class="quarto-category">DeepLearning</div>
     <div class="quarto-category">FastAI</div>
@@ -223,6 +223,12 @@ <h1 class="title">FastAI Journey</h1>
 <td>Created pokemon classifier, compared the performance of few models, by looking into their history; finding good learning rate and understanding it’s usage.</td>
 <td>1,2</td>
 </tr>
+<tr class="even">
+<td>MNIST Classifier</td>
+<td></td>
+<td></td>
+<td></td>
+</tr>
 </tbody>
 </table>
 </div>
diff --git a/blogs/test.html b/blogs/test.html
new file mode 100644
index 0000000..ac72ba5
--- /dev/null
+++ b/blogs/test.html
@@ -0,0 +1,639 @@
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diff --git a/bob.html b/bob.html
new file mode 100644
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@@ -0,0 +1,779 @@
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+ <span class="menu-text">Notes</span></a>
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+<main class="content" id="quarto-document-content">
+
+<header id="title-block-header" class="quarto-title-block default">
+<div class="quarto-title">
+<h1 class="title">Back of book index</h1>
+  <div class="quarto-categories">
+    <div class="quarto-category">Projects</div>
+  </div>
+  </div>
+
+
+
+<div class="quarto-title-meta">
+
+    <div>
+    <div class="quarto-title-meta-heading">Author</div>
+    <div class="quarto-title-meta-contents">
+             <p>Agastya Patel </p>
+          </div>
+  </div>
+    
+  
+    <div>
+    <div class="quarto-title-meta-heading">Modified</div>
+    <div class="quarto-title-meta-contents">
+      <p class="date-modified">January 22, 2024</p>
+    </div>
+  </div>
+    
+  </div>
+  
+
+</header>
+
+<div id="listing-blogs" class="quarto-listing quarto-listing-container-table">
+<div class="listing-actions-group">
+   <div class="input-group input-group-sm quarto-listing-sort">
+     <span class="input-group-text"><i class="bi bi-sort-down"></i></span>
+     <select id="listing-blogs-sort" class="form-select" aria-label="Order By" onchange="window['quarto-listings']['listing-blogs'].sort(this.options[this.selectedIndex].value, { order: this.options[this.selectedIndex].getAttribute('data-direction')})">
+       <option value="" disabled="" selected="" hidden="">Order By</option>
+       <option value="index" data-direction="asc">Default</option>
+         <option value="listing-date-sort" data-direction="asc">
+          Date - Oldest
+        </option>
+         <option value="listing-date-sort" data-direction="desc">
+          Date - Newest
+        </option>
+         <option value="listing-title-sort" data-direction="asc">
+          Title
+        </option>
+         <option value="listing-author" data-direction="asc">
+          Author
+        </option>
+     </select>
+  </div>
+    <div class="input-group input-group-sm quarto-listing-filter">
+      <span class="input-group-text"><i class="bi bi-search"></i></span>
+      <input type="text" class="search form-control" placeholder="Filter">
+    </div>
+</div>
+
+<table class="quarto-listing-table table">
+<thead>
+<tr>
+<th>
+<a class="sort" data-sort="listing-date-sort" onclick="if (this.classList.contains('sort-asc')) { this.classList.add('sort-desc'); this.classList.remove('sort-asc') } else { this.classList.add('sort-asc'); this.classList.remove('sort-desc')} return false;">Date</a>
+</th>
+<th>
+<a class="sort" data-sort="listing-title-sort" onclick="if (this.classList.contains('sort-asc')) { this.classList.add('sort-desc'); this.classList.remove('sort-asc') } else { this.classList.add('sort-asc'); this.classList.remove('sort-desc')} return false;">Title</a>
+</th>
+<th>
+<a class="sort" data-sort="listing-author" onclick="if (this.classList.contains('sort-asc')) { this.classList.add('sort-desc'); this.classList.remove('sort-asc') } else { this.classList.add('sort-asc'); this.classList.remove('sort-desc')} return false;">Author</a>
+</th>
+</tr>
+</thead>
+<tbody class="list">
+<tr data-index="0" data-categories="DeepLearning,FastAI" data-listing-date-sort="1703615400000" data-listing-file-modified-sort="1705877268252" data-listing-date-modified-sort="1705861800000" data-listing-reading-time-sort="1" data-listing-title-sort="FastAI Journey" data-listing-filename-sort="index.qmd">
+<td>
+<span class="listing-date">Dec 27, 2023</span>
+</td>
+<td>
+<a href="./blogs/FastAI/index.html" class="title listing-title">FastAI Journey</a>
+</td>
+<td>
+<span class="listing-author">Agastya Patel</span>
+</td>
+</tr>
+<tr data-index="1" data-categories="Notes,FastAI,History,Neural Network,Theory" data-listing-date-sort="1703961000000" data-listing-file-modified-sort="1705829591093" data-listing-date-modified-sort="1703961000000" data-listing-reading-time-sort="11" data-listing-title-sort="FastAI Lecture 01" data-listing-filename-sort="FastAI Lecture 01.qmd">
+<td>
+<span class="listing-date">Dec 31, 2023</span>
+</td>
+<td>
+<a href="./notes/FastAI/FastAI Lecture 01.html" class="title listing-title">FastAI Lecture 01</a>
+</td>
+<td>
+<span class="listing-author">Agastya Patel</span>
+</td>
+</tr>
+<tr data-index="2" data-categories="Notes,FastAI,History,Neural Network,Theory" data-listing-date-sort="1704911400000" data-listing-file-modified-sort="1705699263433" data-listing-date-modified-sort="1703961000000" data-listing-reading-time-sort="3" data-listing-title-sort="FastAI Lecture 02" data-listing-filename-sort="FastAI Lecture 02.qmd">
+<td>
+<span class="listing-date">Jan 11, 2024</span>
+</td>
+<td>
+<a href="./notes/FastAI/FastAI Lecture 02.html" class="title listing-title">FastAI Lecture 02</a>
+</td>
+<td>
+<span class="listing-author">Agastya Patel</span>
+</td>
+</tr>
+<tr data-index="3" data-categories="Notes,FastAI,History,Neural Network,Theory" data-listing-date-sort="1705084200000" data-listing-file-modified-sort="1705699263435" data-listing-date-modified-sort="1705084200000" data-listing-reading-time-sort="5" data-listing-title-sort="FastAI Lecture 03" data-listing-filename-sort="FastAI Lecture 03.qmd">
+<td>
+<span class="listing-date">Jan 13, 2024</span>
+</td>
+<td>
+<a href="./notes/FastAI/FastAI Lecture 03.html" class="title listing-title">FastAI Lecture 03</a>
+</td>
+<td>
+<span class="listing-author">Agastya Patel</span>
+</td>
+</tr>
+<tr data-index="4" data-categories="notes,FastAI" data-listing-date-sort="1703788200000" data-listing-file-modified-sort="1705878687719" data-listing-date-modified-sort="1703874600000" data-listing-reading-time-sort="1" data-listing-title-sort="FastAI Notes" data-listing-filename-sort="index.qmd">
+<td>
+<span class="listing-date">Dec 29, 2023</span>
+</td>
+<td>
+<a href="./notes/FastAI/index.html" class="title listing-title">FastAI Notes</a>
+</td>
+<td>
+<span class="listing-author">Agastya Patel</span>
+</td>
+</tr>
+<tr data-index="5" data-categories="Notes,FastAI,Tools" data-listing-date-sort="1703788200000" data-listing-file-modified-sort="1705699263436" data-listing-date-modified-sort="1703874600000" data-listing-reading-time-sort="3" data-listing-title-sort="FastAI Setup; Understanding Tools" data-listing-filename-sort="FastAI Setup.md">
+<td>
+<span class="listing-date">Dec 29, 2023</span>
+</td>
+<td>
+<a href="./notes/FastAI/FastAI Setup.html" class="title listing-title">FastAI Setup; Understanding Tools</a>
+</td>
+<td>
+<span class="listing-author">Agastya Patel</span>
+</td>
+</tr>
+<tr data-index="6" data-categories="Notes,FastAI,Utils" data-listing-date-sort="1703961000000" data-listing-file-modified-sort="1705699263436" data-listing-date-modified-sort="1703961000000" data-listing-reading-time-sort="1" data-listing-title-sort="FastAI Snippets 01" data-listing-filename-sort="FastAI Snippets.md">
+<td>
+<span class="listing-date">Dec 31, 2023</span>
+</td>
+<td>
+<a href="./notes/FastAI/FastAI Snippets.html" class="title listing-title">FastAI Snippets 01</a>
+</td>
+<td>
+<span class="listing-author">Agastya Patel</span>
+</td>
+</tr>
+<tr data-index="7" data-listing-file-modified-sort="1705699263454" data-listing-reading-time-sort="6" data-listing-title-sort="Internet" data-listing-filename-sort="Networking.md">
+<td>
+<span class="listing-date">undefined</span>
+</td>
+<td>
+<a href="./notes/Networking.html" class="title listing-title">Internet</a>
+</td>
+<td>
+<span class="listing-author"></span>
+</td>
+</tr>
+<tr data-index="8" data-categories="Kaggle,Hugging Face" data-listing-date-sort="1705689000000" data-listing-file-modified-sort="1705829556152" data-listing-date-modified-sort="1705861800000" data-listing-reading-time-sort="1" data-listing-title-sort="Kaggle" data-listing-filename-sort="Kaggle.md">
+<td>
+<span class="listing-date">Jan 20, 2024</span>
+</td>
+<td>
+<a href="./notes/Utility/Kaggle.html" class="title listing-title">Kaggle</a>
+</td>
+<td>
+<span class="listing-author">Agastya Patel</span>
+</td>
+</tr>
+<tr data-index="9" data-categories="Reference" data-listing-date-sort="1705689000000" data-listing-file-modified-sort="1705750141205" data-listing-date-modified-sort="1705861800000" data-listing-reading-time-sort="1" data-listing-title-sort="Matplotlib" data-listing-filename-sort="Matplotlib.md">
+<td>
+<span class="listing-date">Jan 20, 2024</span>
+</td>
+<td>
+<a href="./notes/Matplotlib.html" class="title listing-title">Matplotlib</a>
+</td>
+<td>
+<span class="listing-author">Agastya Patel</span>
+</td>
+</tr>
+<tr data-index="10" data-listing-file-modified-sort="1705699263457" data-listing-reading-time-sort="1" data-listing-title-sort="Notes" data-listing-filename-sort="index.qmd">
+<td>
+<span class="listing-date">undefined</span>
+</td>
+<td>
+<a href="./notes/index.html" class="title listing-title">Notes</a>
+</td>
+<td>
+<span class="listing-author"></span>
+</td>
+</tr>
+<tr data-index="11" data-categories="Reference" data-listing-date-sort="1705343400000" data-listing-file-modified-sort="1705758339339" data-listing-date-modified-sort="1705861800000" data-listing-reading-time-sort="2" data-listing-title-sort="PyTorch Reference" data-listing-filename-sort="PyTorch.md">
+<td>
+<span class="listing-date">Jan 16, 2024</span>
+</td>
+<td>
+<a href="./notes/PyTorch.html" class="title listing-title">PyTorch Reference</a>
+</td>
+<td>
+<span class="listing-author">Agastya Patel</span>
+</td>
+</tr>
+<tr data-index="12" data-categories="notes,FastAI" data-listing-date-sort="1703788200000" data-listing-file-modified-sort="1705829585280" data-listing-date-modified-sort="1705861800000" data-listing-reading-time-sort="1" data-listing-title-sort="Utility" data-listing-filename-sort="index.qmd">
+<td>
+<span class="listing-date">Dec 29, 2023</span>
+</td>
+<td>
+<a href="./notes/Utility/index.html" class="title listing-title">Utility</a>
+</td>
+<td>
+<span class="listing-author">Agastya Patel</span>
+</td>
+</tr>
+<tr data-index="13" data-listing-file-modified-sort="1705699263481" data-listing-reading-time-sort="1" data-listing-filename-sort="readme.md">
+<td>
+<span class="listing-date">undefined</span>
+</td>
+<td>
+<span class="listing-title">undefined</span>
+</td>
+<td>
+<span class="listing-author"></span>
+</td>
+</tr>
+</tbody>
+
+</table>
+<div class="listing-no-matching d-none">
+No matching items
+</div>
+</div>
+
+
+
+
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+            let gutterDiv = window.document.getElementById("code-annotation-line-highlight-gutter");
+            if (gutterDiv === null) {
+              gutterDiv = window.document.createElement("div");
+              gutterDiv.setAttribute("id", "code-annotation-line-highlight-gutter");
+              gutterDiv.style.position = 'absolute';
+              const codeCell = window.document.getElementById(targetCell);
+              const gutter = codeCell.querySelector('.code-annotation-gutter');
+              gutter.appendChild(gutterDiv);
+            }
+            gutterDiv.style.top = top - 2 + "px";
+            gutterDiv.style.height = height + 4 + "px";
+          }
+          selectedAnnoteEl = annoteEl;
+        }
+      };
+      const unselectCodeLines = () => {
+        const elementsIds = ["code-annotation-line-highlight", "code-annotation-line-highlight-gutter"];
+        elementsIds.forEach((elId) => {
+          const div = window.document.getElementById(elId);
+          if (div) {
+            div.remove();
+          }
+        });
+        selectedAnnoteEl = undefined;
+      };
+      // Attach click handler to the DT
+      const annoteDls = window.document.querySelectorAll('dt[data-target-cell]');
+      for (const annoteDlNode of annoteDls) {
+        annoteDlNode.addEventListener('click', (event) => {
+          const clickedEl = event.target;
+          if (clickedEl !== selectedAnnoteEl) {
+            unselectCodeLines();
+            const activeEl = window.document.querySelector('dt[data-target-cell].code-annotation-active');
+            if (activeEl) {
+              activeEl.classList.remove('code-annotation-active');
+            }
+            selectCodeLines(clickedEl);
+            clickedEl.classList.add('code-annotation-active');
+          } else {
+            // Unselect the line
+            unselectCodeLines();
+            clickedEl.classList.remove('code-annotation-active');
+          }
+        });
+      }
+  const findCites = (el) => {
+    const parentEl = el.parentElement;
+    if (parentEl) {
+      const cites = parentEl.dataset.cites;
+      if (cites) {
+        return {
+          el,
+          cites: cites.split(' ')
+        };
+      } else {
+        return findCites(el.parentElement)
+      }
+    } else {
+      return undefined;
+    }
+  };
+  var bibliorefs = window.document.querySelectorAll('a[role="doc-biblioref"]');
+  for (var i=0; i<bibliorefs.length; i++) {
+    const ref = bibliorefs[i];
+    const citeInfo = findCites(ref);
+    if (citeInfo) {
+      tippyHover(citeInfo.el, function() {
+        var popup = window.document.createElement('div');
+        citeInfo.cites.forEach(function(cite) {
+          var citeDiv = window.document.createElement('div');
+          citeDiv.classList.add('hanging-indent');
+          citeDiv.classList.add('csl-entry');
+          var biblioDiv = window.document.getElementById('ref-' + cite);
+          if (biblioDiv) {
+            citeDiv.innerHTML = biblioDiv.innerHTML;
+          }
+          popup.appendChild(citeDiv);
+        });
+        return popup.innerHTML;
+      });
+    }
+  }
+});
+</script>
+</div> <!-- /content -->
+<footer class="footer">
+  <div class="nav-footer">
+    <div class="nav-footer-left">Copyright 2024, Agastya Patel</div>   
+    <div class="nav-footer-center">
+      &nbsp;
+    </div>
+    <div class="nav-footer-right">
+      <ul class="footer-items list-unstyled">
+    <li class="nav-item compact">
+    <a class="nav-link" href="https://github.com/AgastyaPatel">
+      <i class="bi bi-github" role="img">
+</i> 
+    </a>
+  </li>  
+    <li class="nav-item compact">
+    <a class="nav-link" href="https://twitter.com/4gastyaPatel">
+      <i class="bi bi-twitter" role="img">
+</i> 
+    </a>
+  </li>  
+</ul>
+    </div>
+  </div>
+</footer>
+
+
+
+</body></html>
\ No newline at end of file
diff --git a/bob/bob.html b/bob/bob.html
new file mode 100644
index 0000000..5cc2530
--- /dev/null
+++ b/bob/bob.html
@@ -0,0 +1,660 @@
+<!DOCTYPE html>
+<html xmlns="http://www.w3.org/1999/xhtml" lang="en" xml:lang="en"><head>
+
+<meta charset="utf-8">
+<meta name="generator" content="quarto-1.3.450">
+
+<meta name="viewport" content="width=device-width, initial-scale=1.0, user-scalable=yes">
+
+<meta name="author" content="Agastya Patel">
+
+<title>Agastya Patel - BOB</title>
+<style>
+code{white-space: pre-wrap;}
+span.smallcaps{font-variant: small-caps;}
+div.columns{display: flex; gap: min(4vw, 1.5em);}
+div.column{flex: auto; overflow-x: auto;}
+div.hanging-indent{margin-left: 1.5em; text-indent: -1.5em;}
+ul.task-list{list-style: none;}
+ul.task-list li input[type="checkbox"] {
+  width: 0.8em;
+  margin: 0 0.8em 0.2em -1em; /* quarto-specific, see https://github.com/quarto-dev/quarto-cli/issues/4556 */ 
+  vertical-align: middle;
+}
+</style>
+
+
+<script src="../site_libs/quarto-nav/quarto-nav.js"></script>
+<script src="../site_libs/quarto-nav/headroom.min.js"></script>
+<script src="../site_libs/clipboard/clipboard.min.js"></script>
+<script src="../site_libs/quarto-search/autocomplete.umd.js"></script>
+<script src="../site_libs/quarto-search/fuse.min.js"></script>
+<script src="../site_libs/quarto-search/quarto-search.js"></script>
+<meta name="quarto:offset" content="../">
+<script src="../site_libs/quarto-listing/list.min.js"></script>
+<script src="../site_libs/quarto-listing/quarto-listing.js"></script>
+<script src="../site_libs/quarto-html/quarto.js"></script>
+<script src="../site_libs/quarto-html/popper.min.js"></script>
+<script src="../site_libs/quarto-html/tippy.umd.min.js"></script>
+<script src="../site_libs/quarto-html/anchor.min.js"></script>
+<link href="../site_libs/quarto-html/tippy.css" rel="stylesheet">
+<link href="../site_libs/quarto-html/quarto-syntax-highlighting.css" rel="stylesheet" class="quarto-color-scheme" id="quarto-text-highlighting-styles">
+<link href="../site_libs/quarto-html/quarto-syntax-highlighting-dark.css" rel="prefetch" class="quarto-color-scheme quarto-color-alternate" id="quarto-text-highlighting-styles">
+<script src="../site_libs/bootstrap/bootstrap.min.js"></script>
+<link href="../site_libs/bootstrap/bootstrap-icons.css" rel="stylesheet">
+<link href="../site_libs/bootstrap/bootstrap.min.css" rel="stylesheet" class="quarto-color-scheme" id="quarto-bootstrap" data-mode="light">
+<link href="../site_libs/bootstrap/bootstrap-dark.min.css" rel="prefetch" class="quarto-color-scheme quarto-color-alternate" id="quarto-bootstrap" data-mode="dark">
+<script id="quarto-search-options" type="application/json">{
+  "location": "navbar",
+  "copy-button": false,
+  "collapse-after": 3,
+  "panel-placement": "end",
+  "type": "overlay",
+  "limit": 20,
+  "language": {
+    "search-no-results-text": "No results",
+    "search-matching-documents-text": "matching documents",
+    "search-copy-link-title": "Copy link to search",
+    "search-hide-matches-text": "Hide additional matches",
+    "search-more-match-text": "more match in this document",
+    "search-more-matches-text": "more matches in this document",
+    "search-clear-button-title": "Clear",
+    "search-detached-cancel-button-title": "Cancel",
+    "search-submit-button-title": "Submit",
+    "search-label": "Search"
+  }
+}</script>
+<script>
+
+  window.document.addEventListener("DOMContentLoaded", function (_event) {
+    const listingTargetEl = window.document.querySelector('#listing-blogs .list');
+    if (!listingTargetEl) {
+      // No listing discovered, do not attach.
+      return; 
+    }
+
+    const options = {
+      valueNames: [{ data: ['index'] },{ data: ['categories'] }],
+      
+      searchColumns: [],
+    };
+
+    window['quarto-listings'] = window['quarto-listings'] || {};
+    window['quarto-listings']['listing-blogs'] = new List('listing-blogs', options);
+
+    if (window['quarto-listing-loaded']) {
+      window['quarto-listing-loaded']();
+    }
+  });
+
+  window.addEventListener('hashchange',() => {
+    if (window['quarto-listing-loaded']) {
+      window['quarto-listing-loaded']();
+    }
+  })
+  
+
+  window.document.addEventListener("DOMContentLoaded", function (_event) {
+    const listingTargetEl = window.document.querySelector('#listing-listing-1 .list');
+    if (!listingTargetEl) {
+      // No listing discovered, do not attach.
+      return; 
+    }
+
+    const options = {
+      valueNames: ['listing-title','listing-description','listing-date','listing-date-modified',{ data: ['index'] },{ data: ['categories'] }],
+      
+      searchColumns: [],
+    };
+
+    window['quarto-listings'] = window['quarto-listings'] || {};
+    window['quarto-listings']['listing-listing-1'] = new List('listing-listing-1', options);
+
+    if (window['quarto-listing-loaded']) {
+      window['quarto-listing-loaded']();
+    }
+  });
+
+  window.addEventListener('hashchange',() => {
+    if (window['quarto-listing-loaded']) {
+      window['quarto-listing-loaded']();
+    }
+  })
+  </script>
+
+  <script src="https://polyfill.io/v3/polyfill.min.js?features=es6"></script>
+  <script src="https://cdn.jsdelivr.net/npm/mathjax@3/es5/tex-chtml-full.js" type="text/javascript"></script>
+
+<link rel="stylesheet" href="../styles.css">
+</head>
+
+<body class="nav-fixed">
+
+<div id="quarto-search-results"></div>
+  <header id="quarto-header" class="headroom fixed-top">
+    <nav class="navbar navbar-expand-lg navbar-dark ">
+      <div class="navbar-container container-fluid">
+      <div class="navbar-brand-container">
+    <a class="navbar-brand" href="../index.html">
+    <span class="navbar-title">Agastya Patel</span>
+    </a>
+  </div>
+            <div id="quarto-search" class="" title="Search"></div>
+          <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbarCollapse" aria-controls="navbarCollapse" aria-expanded="false" aria-label="Toggle navigation" onclick="if (window.quartoToggleHeadroom) { window.quartoToggleHeadroom(); }">
+  <span class="navbar-toggler-icon"></span>
+</button>
+          <div class="collapse navbar-collapse" id="navbarCollapse">
+            <ul class="navbar-nav navbar-nav-scroll me-auto">
+  <li class="nav-item">
+    <a class="nav-link" href="../notes/index.html" rel="" target="">
+ <span class="menu-text">Notes</span></a>
+  </li>  
+</ul>
+            <ul class="navbar-nav navbar-nav-scroll ms-auto">
+  <li class="nav-item">
+    <a class="nav-link" href="../about.html" rel="" target="">
+ <span class="menu-text">About</span></a>
+  </li>  
+  <li class="nav-item compact">
+    <a class="nav-link" href="https://github.com/AgastyaPatel" rel="" target=""><i class="bi bi-github" role="img">
+</i> 
+ <span class="menu-text"></span></a>
+  </li>  
+  <li class="nav-item compact">
+    <a class="nav-link" href="https://twitter.com/4gastyaPatel" rel="" target=""><i class="bi bi-twitter" role="img">
+</i> 
+ <span class="menu-text"></span></a>
+  </li>  
+  <li class="nav-item compact">
+    <a class="nav-link" href="https://twitter.com/in/4gastyaPatel" rel="" target=""><i class="bi bi-linkedin" role="img">
+</i> 
+ <span class="menu-text"></span></a>
+  </li>  
+</ul>
+            <div class="quarto-navbar-tools">
+  <a href="" class="quarto-color-scheme-toggle quarto-navigation-tool  px-1" onclick="window.quartoToggleColorScheme(); return false;" title="Toggle dark mode"><i class="bi"></i></a>
+</div>
+          </div> <!-- /navcollapse -->
+      </div> <!-- /container-fluid -->
+    </nav>
+</header>
+<!-- content -->
+<div id="quarto-content" class="quarto-container page-columns page-rows-contents page-layout-article page-navbar">
+<!-- sidebar -->
+<!-- margin-sidebar -->
+    <div id="quarto-margin-sidebar" class="sidebar margin-sidebar">
+        <nav id="TOC" role="doc-toc" class="toc-active">
+    <h2 id="toc-title">On this page</h2>
+   
+  <ul>
+  <li><a href="#blogs" id="toc-blogs" class="nav-link active" data-scroll-target="#blogs">Blogs</a></li>
+  </ul>
+</nav>
+    </div>
+<!-- main -->
+<main class="content" id="quarto-document-content">
+
+<header id="title-block-header" class="quarto-title-block default">
+<div class="quarto-title">
+<h1 class="title">BOB</h1>
+  <div class="quarto-categories">
+    <div class="quarto-category">Projects</div>
+  </div>
+  </div>
+
+
+
+<div class="quarto-title-meta">
+
+    <div>
+    <div class="quarto-title-meta-heading">Author</div>
+    <div class="quarto-title-meta-contents">
+             <p>Agastya Patel </p>
+          </div>
+  </div>
+    
+  
+    <div>
+    <div class="quarto-title-meta-heading">Modified</div>
+    <div class="quarto-title-meta-contents">
+      <p class="date-modified">January 22, 2024</p>
+    </div>
+  </div>
+    
+  </div>
+  
+
+</header>
+
+<section id="blogs" class="level2">
+<h2 class="anchored" data-anchor-id="blogs">Blogs</h2>
+<div id="listing-blogs" class="quarto-listing quarto-listing-container-table">
+<div class="listing-actions-group">
+    <div class="input-group input-group-sm quarto-listing-filter">
+      <span class="input-group-text"><i class="bi bi-search"></i></span>
+      <input type="text" class="search form-control" placeholder="Filter">
+    </div>
+</div>
+
+<table class="quarto-listing-table table">
+<thead>
+<tr>
+</tr>
+</thead>
+<tbody class="list">
+</tbody>
+
+</table>
+<div class="listing-no-matching d-none">
+No matching items
+</div>
+</div>
+
+
+
+</section>
+
+<div class="quarto-listing quarto-listing-container-table" id="listing-listing-1">
+
+<table class="quarto-listing-table table">
+<thead>
+<tr>
+<th>
+Title
+</th>
+<th>
+Description
+</th>
+<th>
+Date
+</th>
+<th>
+Modified
+</th>
+</tr>
+</thead>
+<tbody class="list">
+</tbody>
+
+</table>
+<div class="listing-no-matching d-none">
+No matching items
+</div>
+</div></main> <!-- /main -->
+<script id="quarto-html-after-body" type="application/javascript">
+window.document.addEventListener("DOMContentLoaded", function (event) {
+  const toggleBodyColorMode = (bsSheetEl) => {
+    const mode = bsSheetEl.getAttribute("data-mode");
+    const bodyEl = window.document.querySelector("body");
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+      bodyEl.classList.add("quarto-dark");
+      bodyEl.classList.remove("quarto-light");
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+      stylesheet.rel = 'stylesheet';
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+        el.classList.add('notransition');
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+  const toggleColorMode = (alternate) => {
+    // Switch the stylesheets
+    const alternateStylesheets = window.document.querySelectorAll('link.quarto-color-scheme.quarto-color-alternate');
+    manageTransitions('#quarto-margin-sidebar .nav-link', false);
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+    manageTransitions('#quarto-margin-sidebar .nav-link', true);
+    // Switch the toggles
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+    // Hack to workaround the fact that safari doesn't
+    // properly recolor the scrollbar when toggling (#1455)
+    if (navigator.userAgent.indexOf('Safari') > 0 && navigator.userAgent.indexOf('Chrome') == -1) {
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+  const setStyleSentinel = (alternate) => {
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+    if (!isFileUrl()) {
+      window.localStorage.setItem("quarto-color-scheme", value);
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+  const getColorSchemeSentinel = () => {
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+      const storageValue = window.localStorage.getItem("quarto-color-scheme");
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+      return localAlternateSentinel;
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+  // Dark / light mode switch
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+    a.classList.add('top-right');
+    a.classList.add('quarto-color-scheme-toggle');
+    a.href = "";
+    a.onclick = function() { try { window.quartoToggleColorScheme(); } catch {} return false; };
+    const i = window.document.createElement("i");
+    i.classList.add('bi');
+    a.appendChild(i);
+    window.document.body.appendChild(a);
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+    toggleColorMode(true);
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+    // flash "checked"
+    button.classList.add('code-copy-button-checked');
+    var currentTitle = button.getAttribute("title");
+    button.setAttribute("title", "Copied!");
+    let tooltip;
+    if (window.bootstrap) {
+      button.setAttribute("data-bs-toggle", "tooltip");
+      button.setAttribute("data-bs-placement", "left");
+      button.setAttribute("data-bs-title", "Copied!");
+      tooltip = new bootstrap.Tooltip(button, 
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+      button.setAttribute("title", currentTitle);
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+    // clear code selection
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+  });
+  function tippyHover(el, contentFn) {
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+      interactive: true,
+      interactiveBorder: 10,
+      theme: 'quarto',
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+    };
+    window.tippy(el, config); 
+  }
+  const noterefs = window.document.querySelectorAll('a[role="doc-noteref"]');
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+      const id = href.replace(/^#\/?/, "");
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+        const targetAnnotation = annoteEl.getAttribute("data-target-annotation");
+        const annoteSpan = window.document.querySelector(selectorForAnnotation(targetCell, targetAnnotation));
+        const lines = annoteSpan.getAttribute("data-code-lines").split(",");
+        const lineIds = lines.map((line) => {
+          return targetCell + "-" + line;
+        })
+        let top = null;
+        let height = null;
+        let parent = null;
+        if (lineIds.length > 0) {
+            //compute the position of the single el (top and bottom and make a div)
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+            top = el.offsetTop;
+            height = el.offsetHeight;
+            parent = el.parentElement.parentElement;
+          if (lineIds.length > 1) {
+            const lastEl = window.document.getElementById(lineIds[lineIds.length - 1]);
+            const bottom = lastEl.offsetTop + lastEl.offsetHeight;
+            height = bottom - top;
+          }
+          if (top !== null && height !== null && parent !== null) {
+            // cook up a div (if necessary) and position it 
+            let div = window.document.getElementById("code-annotation-line-highlight");
+            if (div === null) {
+              div = window.document.createElement("div");
+              div.setAttribute("id", "code-annotation-line-highlight");
+              div.style.position = 'absolute';
+              parent.appendChild(div);
+            }
+            div.style.top = top - 2 + "px";
+            div.style.height = height + 4 + "px";
+            let gutterDiv = window.document.getElementById("code-annotation-line-highlight-gutter");
+            if (gutterDiv === null) {
+              gutterDiv = window.document.createElement("div");
+              gutterDiv.setAttribute("id", "code-annotation-line-highlight-gutter");
+              gutterDiv.style.position = 'absolute';
+              const codeCell = window.document.getElementById(targetCell);
+              const gutter = codeCell.querySelector('.code-annotation-gutter');
+              gutter.appendChild(gutterDiv);
+            }
+            gutterDiv.style.top = top - 2 + "px";
+            gutterDiv.style.height = height + 4 + "px";
+          }
+          selectedAnnoteEl = annoteEl;
+        }
+      };
+      const unselectCodeLines = () => {
+        const elementsIds = ["code-annotation-line-highlight", "code-annotation-line-highlight-gutter"];
+        elementsIds.forEach((elId) => {
+          const div = window.document.getElementById(elId);
+          if (div) {
+            div.remove();
+          }
+        });
+        selectedAnnoteEl = undefined;
+      };
+      // Attach click handler to the DT
+      const annoteDls = window.document.querySelectorAll('dt[data-target-cell]');
+      for (const annoteDlNode of annoteDls) {
+        annoteDlNode.addEventListener('click', (event) => {
+          const clickedEl = event.target;
+          if (clickedEl !== selectedAnnoteEl) {
+            unselectCodeLines();
+            const activeEl = window.document.querySelector('dt[data-target-cell].code-annotation-active');
+            if (activeEl) {
+              activeEl.classList.remove('code-annotation-active');
+            }
+            selectCodeLines(clickedEl);
+            clickedEl.classList.add('code-annotation-active');
+          } else {
+            // Unselect the line
+            unselectCodeLines();
+            clickedEl.classList.remove('code-annotation-active');
+          }
+        });
+      }
+  const findCites = (el) => {
+    const parentEl = el.parentElement;
+    if (parentEl) {
+      const cites = parentEl.dataset.cites;
+      if (cites) {
+        return {
+          el,
+          cites: cites.split(' ')
+        };
+      } else {
+        return findCites(el.parentElement)
+      }
+    } else {
+      return undefined;
+    }
+  };
+  var bibliorefs = window.document.querySelectorAll('a[role="doc-biblioref"]');
+  for (var i=0; i<bibliorefs.length; i++) {
+    const ref = bibliorefs[i];
+    const citeInfo = findCites(ref);
+    if (citeInfo) {
+      tippyHover(citeInfo.el, function() {
+        var popup = window.document.createElement('div');
+        citeInfo.cites.forEach(function(cite) {
+          var citeDiv = window.document.createElement('div');
+          citeDiv.classList.add('hanging-indent');
+          citeDiv.classList.add('csl-entry');
+          var biblioDiv = window.document.getElementById('ref-' + cite);
+          if (biblioDiv) {
+            citeDiv.innerHTML = biblioDiv.innerHTML;
+          }
+          popup.appendChild(citeDiv);
+        });
+        return popup.innerHTML;
+      });
+    }
+  }
+});
+</script>
+</div> <!-- /content -->
+<footer class="footer">
+  <div class="nav-footer">
+    <div class="nav-footer-left">Copyright 2024, Agastya Patel</div>   
+    <div class="nav-footer-center">
+      &nbsp;
+    </div>
+    <div class="nav-footer-right">
+      <ul class="footer-items list-unstyled">
+    <li class="nav-item compact">
+    <a class="nav-link" href="https://github.com/AgastyaPatel">
+      <i class="bi bi-github" role="img">
+</i> 
+    </a>
+  </li>  
+    <li class="nav-item compact">
+    <a class="nav-link" href="https://twitter.com/4gastyaPatel">
+      <i class="bi bi-twitter" role="img">
+</i> 
+    </a>
+  </li>  
+</ul>
+    </div>
+  </div>
+</footer>
+
+
+
+</body></html>
\ No newline at end of file
diff --git a/bob/index.html b/bob/index.html
new file mode 100644
index 0000000..5cc2530
--- /dev/null
+++ b/bob/index.html
@@ -0,0 +1,660 @@
+<!DOCTYPE html>
+<html xmlns="http://www.w3.org/1999/xhtml" lang="en" xml:lang="en"><head>
+
+<meta charset="utf-8">
+<meta name="generator" content="quarto-1.3.450">
+
+<meta name="viewport" content="width=device-width, initial-scale=1.0, user-scalable=yes">
+
+<meta name="author" content="Agastya Patel">
+
+<title>Agastya Patel - BOB</title>
+<style>
+code{white-space: pre-wrap;}
+span.smallcaps{font-variant: small-caps;}
+div.columns{display: flex; gap: min(4vw, 1.5em);}
+div.column{flex: auto; overflow-x: auto;}
+div.hanging-indent{margin-left: 1.5em; text-indent: -1.5em;}
+ul.task-list{list-style: none;}
+ul.task-list li input[type="checkbox"] {
+  width: 0.8em;
+  margin: 0 0.8em 0.2em -1em; /* quarto-specific, see https://github.com/quarto-dev/quarto-cli/issues/4556 */ 
+  vertical-align: middle;
+}
+</style>
+
+
+<script src="../site_libs/quarto-nav/quarto-nav.js"></script>
+<script src="../site_libs/quarto-nav/headroom.min.js"></script>
+<script src="../site_libs/clipboard/clipboard.min.js"></script>
+<script src="../site_libs/quarto-search/autocomplete.umd.js"></script>
+<script src="../site_libs/quarto-search/fuse.min.js"></script>
+<script src="../site_libs/quarto-search/quarto-search.js"></script>
+<meta name="quarto:offset" content="../">
+<script src="../site_libs/quarto-listing/list.min.js"></script>
+<script src="../site_libs/quarto-listing/quarto-listing.js"></script>
+<script src="../site_libs/quarto-html/quarto.js"></script>
+<script src="../site_libs/quarto-html/popper.min.js"></script>
+<script src="../site_libs/quarto-html/tippy.umd.min.js"></script>
+<script src="../site_libs/quarto-html/anchor.min.js"></script>
+<link href="../site_libs/quarto-html/tippy.css" rel="stylesheet">
+<link href="../site_libs/quarto-html/quarto-syntax-highlighting.css" rel="stylesheet" class="quarto-color-scheme" id="quarto-text-highlighting-styles">
+<link href="../site_libs/quarto-html/quarto-syntax-highlighting-dark.css" rel="prefetch" class="quarto-color-scheme quarto-color-alternate" id="quarto-text-highlighting-styles">
+<script src="../site_libs/bootstrap/bootstrap.min.js"></script>
+<link href="../site_libs/bootstrap/bootstrap-icons.css" rel="stylesheet">
+<link href="../site_libs/bootstrap/bootstrap.min.css" rel="stylesheet" class="quarto-color-scheme" id="quarto-bootstrap" data-mode="light">
+<link href="../site_libs/bootstrap/bootstrap-dark.min.css" rel="prefetch" class="quarto-color-scheme quarto-color-alternate" id="quarto-bootstrap" data-mode="dark">
+<script id="quarto-search-options" type="application/json">{
+  "location": "navbar",
+  "copy-button": false,
+  "collapse-after": 3,
+  "panel-placement": "end",
+  "type": "overlay",
+  "limit": 20,
+  "language": {
+    "search-no-results-text": "No results",
+    "search-matching-documents-text": "matching documents",
+    "search-copy-link-title": "Copy link to search",
+    "search-hide-matches-text": "Hide additional matches",
+    "search-more-match-text": "more match in this document",
+    "search-more-matches-text": "more matches in this document",
+    "search-clear-button-title": "Clear",
+    "search-detached-cancel-button-title": "Cancel",
+    "search-submit-button-title": "Submit",
+    "search-label": "Search"
+  }
+}</script>
+<script>
+
+  window.document.addEventListener("DOMContentLoaded", function (_event) {
+    const listingTargetEl = window.document.querySelector('#listing-blogs .list');
+    if (!listingTargetEl) {
+      // No listing discovered, do not attach.
+      return; 
+    }
+
+    const options = {
+      valueNames: [{ data: ['index'] },{ data: ['categories'] }],
+      
+      searchColumns: [],
+    };
+
+    window['quarto-listings'] = window['quarto-listings'] || {};
+    window['quarto-listings']['listing-blogs'] = new List('listing-blogs', options);
+
+    if (window['quarto-listing-loaded']) {
+      window['quarto-listing-loaded']();
+    }
+  });
+
+  window.addEventListener('hashchange',() => {
+    if (window['quarto-listing-loaded']) {
+      window['quarto-listing-loaded']();
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+  })
+  
+
+  window.document.addEventListener("DOMContentLoaded", function (_event) {
+    const listingTargetEl = window.document.querySelector('#listing-listing-1 .list');
+    if (!listingTargetEl) {
+      // No listing discovered, do not attach.
+      return; 
+    }
+
+    const options = {
+      valueNames: ['listing-title','listing-description','listing-date','listing-date-modified',{ data: ['index'] },{ data: ['categories'] }],
+      
+      searchColumns: [],
+    };
+
+    window['quarto-listings'] = window['quarto-listings'] || {};
+    window['quarto-listings']['listing-listing-1'] = new List('listing-listing-1', options);
+
+    if (window['quarto-listing-loaded']) {
+      window['quarto-listing-loaded']();
+    }
+  });
+
+  window.addEventListener('hashchange',() => {
+    if (window['quarto-listing-loaded']) {
+      window['quarto-listing-loaded']();
+    }
+  })
+  </script>
+
+  <script src="https://polyfill.io/v3/polyfill.min.js?features=es6"></script>
+  <script src="https://cdn.jsdelivr.net/npm/mathjax@3/es5/tex-chtml-full.js" type="text/javascript"></script>
+
+<link rel="stylesheet" href="../styles.css">
+</head>
+
+<body class="nav-fixed">
+
+<div id="quarto-search-results"></div>
+  <header id="quarto-header" class="headroom fixed-top">
+    <nav class="navbar navbar-expand-lg navbar-dark ">
+      <div class="navbar-container container-fluid">
+      <div class="navbar-brand-container">
+    <a class="navbar-brand" href="../index.html">
+    <span class="navbar-title">Agastya Patel</span>
+    </a>
+  </div>
+            <div id="quarto-search" class="" title="Search"></div>
+          <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbarCollapse" aria-controls="navbarCollapse" aria-expanded="false" aria-label="Toggle navigation" onclick="if (window.quartoToggleHeadroom) { window.quartoToggleHeadroom(); }">
+  <span class="navbar-toggler-icon"></span>
+</button>
+          <div class="collapse navbar-collapse" id="navbarCollapse">
+            <ul class="navbar-nav navbar-nav-scroll me-auto">
+  <li class="nav-item">
+    <a class="nav-link" href="../notes/index.html" rel="" target="">
+ <span class="menu-text">Notes</span></a>
+  </li>  
+</ul>
+            <ul class="navbar-nav navbar-nav-scroll ms-auto">
+  <li class="nav-item">
+    <a class="nav-link" href="../about.html" rel="" target="">
+ <span class="menu-text">About</span></a>
+  </li>  
+  <li class="nav-item compact">
+    <a class="nav-link" href="https://github.com/AgastyaPatel" rel="" target=""><i class="bi bi-github" role="img">
+</i> 
+ <span class="menu-text"></span></a>
+  </li>  
+  <li class="nav-item compact">
+    <a class="nav-link" href="https://twitter.com/4gastyaPatel" rel="" target=""><i class="bi bi-twitter" role="img">
+</i> 
+ <span class="menu-text"></span></a>
+  </li>  
+  <li class="nav-item compact">
+    <a class="nav-link" href="https://twitter.com/in/4gastyaPatel" rel="" target=""><i class="bi bi-linkedin" role="img">
+</i> 
+ <span class="menu-text"></span></a>
+  </li>  
+</ul>
+            <div class="quarto-navbar-tools">
+  <a href="" class="quarto-color-scheme-toggle quarto-navigation-tool  px-1" onclick="window.quartoToggleColorScheme(); return false;" title="Toggle dark mode"><i class="bi"></i></a>
+</div>
+          </div> <!-- /navcollapse -->
+      </div> <!-- /container-fluid -->
+    </nav>
+</header>
+<!-- content -->
+<div id="quarto-content" class="quarto-container page-columns page-rows-contents page-layout-article page-navbar">
+<!-- sidebar -->
+<!-- margin-sidebar -->
+    <div id="quarto-margin-sidebar" class="sidebar margin-sidebar">
+        <nav id="TOC" role="doc-toc" class="toc-active">
+    <h2 id="toc-title">On this page</h2>
+   
+  <ul>
+  <li><a href="#blogs" id="toc-blogs" class="nav-link active" data-scroll-target="#blogs">Blogs</a></li>
+  </ul>
+</nav>
+    </div>
+<!-- main -->
+<main class="content" id="quarto-document-content">
+
+<header id="title-block-header" class="quarto-title-block default">
+<div class="quarto-title">
+<h1 class="title">BOB</h1>
+  <div class="quarto-categories">
+    <div class="quarto-category">Projects</div>
+  </div>
+  </div>
+
+
+
+<div class="quarto-title-meta">
+
+    <div>
+    <div class="quarto-title-meta-heading">Author</div>
+    <div class="quarto-title-meta-contents">
+             <p>Agastya Patel </p>
+          </div>
+  </div>
+    
+  
+    <div>
+    <div class="quarto-title-meta-heading">Modified</div>
+    <div class="quarto-title-meta-contents">
+      <p class="date-modified">January 22, 2024</p>
+    </div>
+  </div>
+    
+  </div>
+  
+
+</header>
+
+<section id="blogs" class="level2">
+<h2 class="anchored" data-anchor-id="blogs">Blogs</h2>
+<div id="listing-blogs" class="quarto-listing quarto-listing-container-table">
+<div class="listing-actions-group">
+    <div class="input-group input-group-sm quarto-listing-filter">
+      <span class="input-group-text"><i class="bi bi-search"></i></span>
+      <input type="text" class="search form-control" placeholder="Filter">
+    </div>
+</div>
+
+<table class="quarto-listing-table table">
+<thead>
+<tr>
+</tr>
+</thead>
+<tbody class="list">
+</tbody>
+
+</table>
+<div class="listing-no-matching d-none">
+No matching items
+</div>
+</div>
+
+
+
+</section>
+
+<div class="quarto-listing quarto-listing-container-table" id="listing-listing-1">
+
+<table class="quarto-listing-table table">
+<thead>
+<tr>
+<th>
+Title
+</th>
+<th>
+Description
+</th>
+<th>
+Date
+</th>
+<th>
+Modified
+</th>
+</tr>
+</thead>
+<tbody class="list">
+</tbody>
+
+</table>
+<div class="listing-no-matching d-none">
+No matching items
+</div>
+</div></main> <!-- /main -->
+<script id="quarto-html-after-body" type="application/javascript">
+window.document.addEventListener("DOMContentLoaded", function (event) {
+  const toggleBodyColorMode = (bsSheetEl) => {
+    const mode = bsSheetEl.getAttribute("data-mode");
+    const bodyEl = window.document.querySelector("body");
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+      bodyEl.classList.add("quarto-dark");
+      bodyEl.classList.remove("quarto-light");
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+  const toggleColorMode = (alternate) => {
+    // Switch the stylesheets
+    const alternateStylesheets = window.document.querySelectorAll('link.quarto-color-scheme.quarto-color-alternate');
+    manageTransitions('#quarto-margin-sidebar .nav-link', false);
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+    if (navigator.userAgent.indexOf('Safari') > 0 && navigator.userAgent.indexOf('Chrome') == -1) {
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+    a.classList.add('quarto-color-scheme-toggle');
+    a.href = "";
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+    const i = window.document.createElement("i");
+    i.classList.add('bi');
+    a.appendChild(i);
+    window.document.body.appendChild(a);
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+      button.setAttribute("data-bs-placement", "left");
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+          popup.appendChild(citeDiv);
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+        return popup.innerHTML;
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+  }
+});
+</script>
+</div> <!-- /content -->
+<footer class="footer">
+  <div class="nav-footer">
+    <div class="nav-footer-left">Copyright 2024, Agastya Patel</div>   
+    <div class="nav-footer-center">
+      &nbsp;
+    </div>
+    <div class="nav-footer-right">
+      <ul class="footer-items list-unstyled">
+    <li class="nav-item compact">
+    <a class="nav-link" href="https://github.com/AgastyaPatel">
+      <i class="bi bi-github" role="img">
+</i> 
+    </a>
+  </li>  
+    <li class="nav-item compact">
+    <a class="nav-link" href="https://twitter.com/4gastyaPatel">
+      <i class="bi bi-twitter" role="img">
+</i> 
+    </a>
+  </li>  
+</ul>
+    </div>
+  </div>
+</footer>
+
+
+
+</body></html>
\ No newline at end of file
diff --git a/index.html b/index.html
index 31f9e84..1bf00df 100644
--- a/index.html
+++ b/index.html
@@ -117,7 +117,7 @@
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             <ul class="navbar-nav navbar-nav-scroll me-auto">
   <li class="nav-item">
-    <a class="nav-link" href="./notes/index.html" rel="" target="">
+    <a class="nav-link active" href="./notes/index.html" rel="" target="" aria-current="page">
  <span class="menu-text">Notes</span></a>
   </li>  
 </ul>
@@ -163,23 +163,7 @@
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 </header>
 <!-- content -->
-<header id="title-block-header" class="quarto-title-block default page-columns page-full">
-  <div class="quarto-title-banner page-columns page-full">
-    <div class="quarto-title column-body">
-      <h1 class="title">Blogs</h1>
-                      </div>
-  </div>
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-  
-  <div class="quarto-title-meta">
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-    
-      
-    </div>
-    
-  
-  </header><div id="quarto-content" class="quarto-container page-columns page-rows-contents page-layout-full page-navbar">
+<div id="quarto-content" class="quarto-container page-columns page-rows-contents page-layout-full page-navbar">
 <!-- sidebar -->
   <nav id="quarto-sidebar" class="sidebar collapse collapse-horizontal sidebar-navigation docked overflow-auto">
         <div class="mt-2 flex-shrink-0 align-items-center">
@@ -189,33 +173,42 @@ <h1 class="title">Blogs</h1>
         </div>
     <div class="sidebar-menu-container"> 
     <ul class="list-unstyled mt-1">
-        <li class="sidebar-item">
+        <li class="sidebar-item sidebar-item-section">
+      <div class="sidebar-item-container"> 
+            <a href="./notes/index.html" class="sidebar-item-text sidebar-link">
+ <span class="menu-text">Notes</span></a>
+          <a class="sidebar-item-toggle text-start" data-bs-toggle="collapse" data-bs-target="#quarto-sidebar-section-1" aria-expanded="true" aria-label="Toggle section">
+            <i class="bi bi-chevron-right ms-2"></i>
+          </a> 
+      </div>
+      <ul id="quarto-sidebar-section-1" class="collapse list-unstyled sidebar-section depth1 show">  
+          <li class="sidebar-item">
   <div class="sidebar-item-container"> 
   <a href="./notes/Matplotlib.html" class="sidebar-item-text sidebar-link">
  <span class="menu-text">Matplotlib</span></a>
   </div>
 </li>
-        <li class="sidebar-item">
+          <li class="sidebar-item">
   <div class="sidebar-item-container"> 
   <a href="./notes/Networking.html" class="sidebar-item-text sidebar-link">
  <span class="menu-text">Internet</span></a>
   </div>
 </li>
-        <li class="sidebar-item">
+          <li class="sidebar-item">
   <div class="sidebar-item-container"> 
   <a href="./notes/PyTorch.html" class="sidebar-item-text sidebar-link">
  <span class="menu-text">PyTorch Reference</span></a>
   </div>
 </li>
-        <li class="sidebar-item sidebar-item-section">
+          <li class="sidebar-item sidebar-item-section">
       <div class="sidebar-item-container"> 
             <a href="./notes/FastAI/index.html" class="sidebar-item-text sidebar-link">
  <span class="menu-text">FastAI Notes</span></a>
-          <a class="sidebar-item-toggle text-start" data-bs-toggle="collapse" data-bs-target="#quarto-sidebar-section-1" aria-expanded="true" aria-label="Toggle section">
+          <a class="sidebar-item-toggle text-start collapsed" data-bs-toggle="collapse" data-bs-target="#quarto-sidebar-section-2" aria-expanded="false" aria-label="Toggle section">
             <i class="bi bi-chevron-right ms-2"></i>
           </a> 
       </div>
-      <ul id="quarto-sidebar-section-1" class="collapse list-unstyled sidebar-section depth1 show">  
+      <ul id="quarto-sidebar-section-2" class="collapse list-unstyled sidebar-section depth2 ">  
           <li class="sidebar-item">
   <div class="sidebar-item-container"> 
   <a href="./notes/FastAI/FastAI Lecture 01.html" class="sidebar-item-text sidebar-link">
@@ -248,15 +241,15 @@ <h1 class="title">Blogs</h1>
 </li>
       </ul>
   </li>
-        <li class="sidebar-item sidebar-item-section">
+          <li class="sidebar-item sidebar-item-section">
       <div class="sidebar-item-container"> 
             <a href="./notes/Utility/index.html" class="sidebar-item-text sidebar-link">
  <span class="menu-text">Utility</span></a>
-          <a class="sidebar-item-toggle text-start" data-bs-toggle="collapse" data-bs-target="#quarto-sidebar-section-2" aria-expanded="true" aria-label="Toggle section">
+          <a class="sidebar-item-toggle text-start collapsed" data-bs-toggle="collapse" data-bs-target="#quarto-sidebar-section-3" aria-expanded="false" aria-label="Toggle section">
             <i class="bi bi-chevron-right ms-2"></i>
           </a> 
       </div>
-      <ul id="quarto-sidebar-section-2" class="collapse list-unstyled sidebar-section depth1 show">  
+      <ul id="quarto-sidebar-section-3" class="collapse list-unstyled sidebar-section depth2 ">  
           <li class="sidebar-item">
   <div class="sidebar-item-container"> 
   <a href="./notes/Utility/Kaggle.html" class="sidebar-item-text sidebar-link">
@@ -264,6 +257,8 @@ <h1 class="title">Blogs</h1>
   </div>
 </li>
       </ul>
+  </li>
+      </ul>
   </li>
     </ul>
     </div>
@@ -274,10 +269,24 @@ <h1 class="title">Blogs</h1>
         
     <h5 class="quarto-listing-category-title">Categories</h5><div class="quarto-listing-category category-default"><div class="category" data-category="">All <span class="quarto-category-count">(1)</span></div><div class="category" data-category="DeepLearning">DeepLearning <span class="quarto-category-count">(1)</span></div><div class="category" data-category="FastAI">FastAI <span class="quarto-category-count">(1)</span></div></div></div>
 <!-- main -->
-<main class="content quarto-banner-title-block column-body" id="quarto-document-content">
+<main class="content column-body" id="quarto-document-content">
+
+<header id="title-block-header" class="quarto-title-block default">
+<div class="quarto-title">
+<h1 class="title">Blogs</h1>
+</div>
+
 
 
+<div class="quarto-title-meta">
 
+    
+  
+    
+  </div>
+  
+
+</header>
 
 
 
@@ -291,7 +300,7 @@ <h5 class="quarto-listing-category-title">Categories</h5><div class="quarto-list
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 </div>
 <div class="list quarto-listing-default">
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+<div class="quarto-post image-right" data-index="0" data-categories="DeepLearning,FastAI" data-listing-date-sort="1703615400000" data-listing-file-modified-sort="1705877268252" data-listing-date-modified-sort="1705861800000" data-listing-reading-time-sort="1">
 <div class="thumbnail">
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diff --git a/listings.json b/listings.json
index 45dc0c2..9ad97d8 100644
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+++ b/listings.json
@@ -1,22 +1,18 @@
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-    "items": []
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+    "listing": "/notes/FastAI/index.html",
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+      "/notes/FastAI/FastAI Lecture 01.html",
+      "/notes/FastAI/FastAI Lecture 02.html",
+      "/notes/FastAI/FastAI Lecture 03.html",
+      "/notes/FastAI/FastAI Setup.html",
+      "/notes/FastAI/FastAI Snippets.html"
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   {
-    "listing": "/notes/index.html",
+    "listing": "/index.html",
     "items": [
-      "/notes/FastAI/index.html",
-      "/notes/Networking.html",
-      "/notes/Matplotlib.html",
-      "/notes/PyTorch.html",
-      "/notes/Utility/index.html"
+      "/blogs/FastAI/index.html"
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@@ -24,23 +20,38 @@
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       "/notes/FastAI/FastAI Lecture 01.html",
       "/notes/FastAI/FastAI Lecture 02.html",
       "/notes/FastAI/FastAI Lecture 03.html",
+      "/notes/FastAI/index.html",
       "/notes/FastAI/FastAI Setup.html",
-      "/notes/FastAI/FastAI Snippets.html"
+      "/notes/FastAI/FastAI Snippets.html",
+      "/notes/Networking.html",
+      "/notes/Utility/Kaggle.html",
+      "/notes/Matplotlib.html",
+      "/notes/index.html",
+      "/notes/PyTorch.html",
+      "/notes/Utility/index.html",
+      "/readme.html"
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   {
-    "listing": "/projects.html",
-    "items": []
+    "listing": "/notes/index.html",
+    "items": [
+      "/notes/FastAI/index.html",
+      "/notes/Networking.html",
+      "/notes/Matplotlib.html",
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+    "items": [
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+    ]
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 ]
\ No newline at end of file
diff --git a/notes/FastAI/FastAI Lecture 01.html b/notes/FastAI/FastAI Lecture 01.html
index 3ce2d3b..77e1c8f 100644
--- a/notes/FastAI/FastAI Lecture 01.html	
+++ b/notes/FastAI/FastAI Lecture 01.html	
@@ -91,7 +91,7 @@
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   <li class="nav-item">
-    <a class="nav-link" href="../../notes/index.html" rel="" target="">
+    <a class="nav-link active" href="../../notes/index.html" rel="" target="" aria-current="page">
  <span class="menu-text">Notes</span></a>
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@@ -127,7 +127,7 @@
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+      <nav class="quarto-page-breadcrumbs" aria-label="breadcrumb"><ol class="breadcrumb"><li class="breadcrumb-item"><a href="../../notes/index.html">Notes</a></li><li class="breadcrumb-item"><a href="../../notes/FastAI/index.html">FastAI Notes</a></li><li class="breadcrumb-item"><a href="../../notes/FastAI/FastAI Lecture 01.html">FastAI Lecture 01</a></li></ol></nav>
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@@ -147,33 +147,42 @@
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     <div class="sidebar-menu-container"> 
     <ul class="list-unstyled mt-1">
-        <li class="sidebar-item">
+        <li class="sidebar-item sidebar-item-section">
+      <div class="sidebar-item-container"> 
+            <a href="../../notes/index.html" class="sidebar-item-text sidebar-link">
+ <span class="menu-text">Notes</span></a>
+          <a class="sidebar-item-toggle text-start" data-bs-toggle="collapse" data-bs-target="#quarto-sidebar-section-1" aria-expanded="true" aria-label="Toggle section">
+            <i class="bi bi-chevron-right ms-2"></i>
+          </a> 
+      </div>
+      <ul id="quarto-sidebar-section-1" class="collapse list-unstyled sidebar-section depth1 show">  
+          <li class="sidebar-item">
   <div class="sidebar-item-container"> 
   <a href="../../notes/Matplotlib.html" class="sidebar-item-text sidebar-link">
  <span class="menu-text">Matplotlib</span></a>
   </div>
 </li>
-        <li class="sidebar-item">
+          <li class="sidebar-item">
   <div class="sidebar-item-container"> 
   <a href="../../notes/Networking.html" class="sidebar-item-text sidebar-link">
  <span class="menu-text">Internet</span></a>
   </div>
 </li>
-        <li class="sidebar-item">
+          <li class="sidebar-item">
   <div class="sidebar-item-container"> 
   <a href="../../notes/PyTorch.html" class="sidebar-item-text sidebar-link">
  <span class="menu-text">PyTorch Reference</span></a>
   </div>
 </li>
-        <li class="sidebar-item sidebar-item-section">
+          <li class="sidebar-item sidebar-item-section">
       <div class="sidebar-item-container"> 
             <a href="../../notes/FastAI/index.html" class="sidebar-item-text sidebar-link">
  <span class="menu-text">FastAI Notes</span></a>
-          <a class="sidebar-item-toggle text-start" data-bs-toggle="collapse" data-bs-target="#quarto-sidebar-section-1" aria-expanded="true" aria-label="Toggle section">
+          <a class="sidebar-item-toggle text-start" data-bs-toggle="collapse" data-bs-target="#quarto-sidebar-section-2" aria-expanded="true" aria-label="Toggle section">
             <i class="bi bi-chevron-right ms-2"></i>
           </a> 
       </div>
-      <ul id="quarto-sidebar-section-1" class="collapse list-unstyled sidebar-section depth1 show">  
+      <ul id="quarto-sidebar-section-2" class="collapse list-unstyled sidebar-section depth2 show">  
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   <div class="sidebar-item-container"> 
   <a href="../../notes/FastAI/FastAI Lecture 01.html" class="sidebar-item-text sidebar-link active">
@@ -206,15 +215,15 @@
 </li>
       </ul>
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-        <li class="sidebar-item sidebar-item-section">
+          <li class="sidebar-item sidebar-item-section">
       <div class="sidebar-item-container"> 
             <a href="../../notes/Utility/index.html" class="sidebar-item-text sidebar-link">
  <span class="menu-text">Utility</span></a>
-          <a class="sidebar-item-toggle text-start" data-bs-toggle="collapse" data-bs-target="#quarto-sidebar-section-2" aria-expanded="true" aria-label="Toggle section">
+          <a class="sidebar-item-toggle text-start collapsed" data-bs-toggle="collapse" data-bs-target="#quarto-sidebar-section-3" aria-expanded="false" aria-label="Toggle section">
             <i class="bi bi-chevron-right ms-2"></i>
           </a> 
       </div>
-      <ul id="quarto-sidebar-section-2" class="collapse list-unstyled sidebar-section depth1 show">  
+      <ul id="quarto-sidebar-section-3" class="collapse list-unstyled sidebar-section depth2 ">  
           <li class="sidebar-item">
   <div class="sidebar-item-container"> 
   <a href="../../notes/Utility/Kaggle.html" class="sidebar-item-text sidebar-link">
@@ -222,6 +231,8 @@
   </div>
 </li>
       </ul>
+  </li>
+      </ul>
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     </ul>
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diff --git a/notes/FastAI/FastAI Lecture 02.html b/notes/FastAI/FastAI Lecture 02.html
index 3af48cf..a2db20b 100644
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+++ b/notes/FastAI/FastAI Lecture 02.html	
@@ -88,7 +88,7 @@
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             <ul class="navbar-nav navbar-nav-scroll me-auto">
   <li class="nav-item">
-    <a class="nav-link" href="../../notes/index.html" rel="" target="">
+    <a class="nav-link active" href="../../notes/index.html" rel="" target="" aria-current="page">
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@@ -124,7 +124,7 @@
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+      <nav class="quarto-page-breadcrumbs" aria-label="breadcrumb"><ol class="breadcrumb"><li class="breadcrumb-item"><a href="../../notes/index.html">Notes</a></li><li class="breadcrumb-item"><a href="../../notes/FastAI/index.html">FastAI Notes</a></li><li class="breadcrumb-item"><a href="../../notes/FastAI/FastAI Lecture 02.html">FastAI Lecture 02</a></li></ol></nav>
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+      <div class="sidebar-item-container"> 
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+ <span class="menu-text">Notes</span></a>
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@@ -203,15 +212,15 @@
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-          <a class="sidebar-item-toggle text-start" data-bs-toggle="collapse" data-bs-target="#quarto-sidebar-section-2" aria-expanded="true" aria-label="Toggle section">
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@@ -219,6 +228,8 @@
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+    <a class="nav-link active" href="../../notes/index.html" rel="" target="" aria-current="page">
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+      <nav class="quarto-page-breadcrumbs" aria-label="breadcrumb"><ol class="breadcrumb"><li class="breadcrumb-item"><a href="../../notes/index.html">Notes</a></li><li class="breadcrumb-item"><a href="../../notes/FastAI/index.html">FastAI Notes</a></li><li class="breadcrumb-item"><a href="../../notes/FastAI/FastAI Lecture 03.html">FastAI Lecture 03</a></li></ol></nav>
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+        <li class="sidebar-item sidebar-item-section">
+      <div class="sidebar-item-container"> 
+            <a href="../../notes/index.html" class="sidebar-item-text sidebar-link">
+ <span class="menu-text">Notes</span></a>
+          <a class="sidebar-item-toggle text-start" data-bs-toggle="collapse" data-bs-target="#quarto-sidebar-section-1" aria-expanded="true" aria-label="Toggle section">
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+      <ul id="quarto-sidebar-section-1" class="collapse list-unstyled sidebar-section depth1 show">  
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+          <a class="sidebar-item-toggle text-start" data-bs-toggle="collapse" data-bs-target="#quarto-sidebar-section-2" aria-expanded="true" aria-label="Toggle section">
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-      <ul id="quarto-sidebar-section-1" class="collapse list-unstyled sidebar-section depth1 show">  
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@@ -253,6 +262,8 @@
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index 6c0370c..d6c2969 100644
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+      <nav class="quarto-page-breadcrumbs" aria-label="breadcrumb"><ol class="breadcrumb"><li class="breadcrumb-item"><a href="../../notes/index.html">Notes</a></li><li class="breadcrumb-item"><a href="../../notes/FastAI/index.html">FastAI Notes</a></li><li class="breadcrumb-item"><a href="../../notes/FastAI/FastAI Setup.html">FastAI Setup; Understanding Tools</a></li></ol></nav>
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+        <li class="sidebar-item sidebar-item-section">
+      <div class="sidebar-item-container"> 
+            <a href="../../notes/index.html" class="sidebar-item-text sidebar-link">
+ <span class="menu-text">Notes</span></a>
+          <a class="sidebar-item-toggle text-start" data-bs-toggle="collapse" data-bs-target="#quarto-sidebar-section-1" aria-expanded="true" aria-label="Toggle section">
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+      <ul id="quarto-sidebar-section-1" class="collapse list-unstyled sidebar-section depth1 show">  
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-          <a class="sidebar-item-toggle text-start" data-bs-toggle="collapse" data-bs-target="#quarto-sidebar-section-1" aria-expanded="true" aria-label="Toggle section">
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-      <ul id="quarto-sidebar-section-1" class="collapse list-unstyled sidebar-section depth1 show">  
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@@ -203,15 +212,15 @@
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-          <a class="sidebar-item-toggle text-start" data-bs-toggle="collapse" data-bs-target="#quarto-sidebar-section-2" aria-expanded="true" aria-label="Toggle section">
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@@ -219,6 +228,8 @@
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 </li>
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+      <nav class="quarto-page-breadcrumbs" aria-label="breadcrumb"><ol class="breadcrumb"><li class="breadcrumb-item"><a href="../../notes/index.html">Notes</a></li><li class="breadcrumb-item"><a href="../../notes/FastAI/index.html">FastAI Notes</a></li><li class="breadcrumb-item"><a href="../../notes/FastAI/FastAI Snippets.html">FastAI Snippets 01</a></li></ol></nav>
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@@ -178,33 +178,42 @@
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+      <div class="sidebar-item-container"> 
+            <a href="../../notes/index.html" class="sidebar-item-text sidebar-link">
+ <span class="menu-text">Notes</span></a>
+          <a class="sidebar-item-toggle text-start" data-bs-toggle="collapse" data-bs-target="#quarto-sidebar-section-1" aria-expanded="true" aria-label="Toggle section">
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+      <ul id="quarto-sidebar-section-1" class="collapse list-unstyled sidebar-section depth1 show">  
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+          <li class="sidebar-item">
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 </li>
-        <li class="sidebar-item">
+          <li class="sidebar-item">
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+          <li class="sidebar-item sidebar-item-section">
       <div class="sidebar-item-container"> 
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-          <a class="sidebar-item-toggle text-start" data-bs-toggle="collapse" data-bs-target="#quarto-sidebar-section-1" aria-expanded="true" aria-label="Toggle section">
+          <a class="sidebar-item-toggle text-start" data-bs-toggle="collapse" data-bs-target="#quarto-sidebar-section-2" aria-expanded="true" aria-label="Toggle section">
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           </a> 
       </div>
-      <ul id="quarto-sidebar-section-1" class="collapse list-unstyled sidebar-section depth1 show">  
+      <ul id="quarto-sidebar-section-2" class="collapse list-unstyled sidebar-section depth2 show">  
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@@ -237,15 +246,15 @@
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+          <li class="sidebar-item sidebar-item-section">
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-          <a class="sidebar-item-toggle text-start" data-bs-toggle="collapse" data-bs-target="#quarto-sidebar-section-2" aria-expanded="true" aria-label="Toggle section">
+          <a class="sidebar-item-toggle text-start collapsed" data-bs-toggle="collapse" data-bs-target="#quarto-sidebar-section-3" aria-expanded="false" aria-label="Toggle section">
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-      <ul id="quarto-sidebar-section-2" class="collapse list-unstyled sidebar-section depth1 show">  
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@@ -253,6 +262,8 @@
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index f09179c..11c07eb 100644
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+    <a class="nav-link active" href="../../notes/index.html" rel="" target="" aria-current="page">
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+      <nav class="quarto-page-breadcrumbs" aria-label="breadcrumb"><ol class="breadcrumb"><li class="breadcrumb-item"><a href="../../notes/index.html">Notes</a></li><li class="breadcrumb-item"><a href="../../notes/FastAI/index.html">FastAI Notes</a></li></ol></nav>
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@@ -177,33 +177,42 @@
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-        <li class="sidebar-item">
+        <li class="sidebar-item sidebar-item-section">
+      <div class="sidebar-item-container"> 
+            <a href="../../notes/index.html" class="sidebar-item-text sidebar-link">
+ <span class="menu-text">Notes</span></a>
+          <a class="sidebar-item-toggle text-start" data-bs-toggle="collapse" data-bs-target="#quarto-sidebar-section-1" aria-expanded="true" aria-label="Toggle section">
+            <i class="bi bi-chevron-right ms-2"></i>
+          </a> 
+      </div>
+      <ul id="quarto-sidebar-section-1" class="collapse list-unstyled sidebar-section depth1 show">  
+          <li class="sidebar-item">
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   <a href="../../notes/Matplotlib.html" class="sidebar-item-text sidebar-link">
  <span class="menu-text">Matplotlib</span></a>
   </div>
 </li>
-        <li class="sidebar-item">
+          <li class="sidebar-item">
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   <a href="../../notes/Networking.html" class="sidebar-item-text sidebar-link">
  <span class="menu-text">Internet</span></a>
   </div>
 </li>
-        <li class="sidebar-item">
+          <li class="sidebar-item">
   <div class="sidebar-item-container"> 
   <a href="../../notes/PyTorch.html" class="sidebar-item-text sidebar-link">
  <span class="menu-text">PyTorch Reference</span></a>
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 </li>
-        <li class="sidebar-item sidebar-item-section">
+          <li class="sidebar-item sidebar-item-section">
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  <span class="menu-text">FastAI Notes</span></a>
-          <a class="sidebar-item-toggle text-start" data-bs-toggle="collapse" data-bs-target="#quarto-sidebar-section-1" aria-expanded="true" aria-label="Toggle section">
+          <a class="sidebar-item-toggle text-start" data-bs-toggle="collapse" data-bs-target="#quarto-sidebar-section-2" aria-expanded="true" aria-label="Toggle section">
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           </a> 
       </div>
-      <ul id="quarto-sidebar-section-1" class="collapse list-unstyled sidebar-section depth1 show">  
+      <ul id="quarto-sidebar-section-2" class="collapse list-unstyled sidebar-section depth2 show">  
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   <div class="sidebar-item-container"> 
   <a href="../../notes/FastAI/FastAI Lecture 01.html" class="sidebar-item-text sidebar-link">
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-        <li class="sidebar-item sidebar-item-section">
+          <li class="sidebar-item sidebar-item-section">
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  <span class="menu-text">Utility</span></a>
-          <a class="sidebar-item-toggle text-start" data-bs-toggle="collapse" data-bs-target="#quarto-sidebar-section-2" aria-expanded="true" aria-label="Toggle section">
+          <a class="sidebar-item-toggle text-start collapsed" data-bs-toggle="collapse" data-bs-target="#quarto-sidebar-section-3" aria-expanded="false" aria-label="Toggle section">
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           </a> 
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-      <ul id="quarto-sidebar-section-2" class="collapse list-unstyled sidebar-section depth1 show">  
+      <ul id="quarto-sidebar-section-3" class="collapse list-unstyled sidebar-section depth2 ">  
           <li class="sidebar-item">
   <div class="sidebar-item-container"> 
   <a href="../../notes/Utility/Kaggle.html" class="sidebar-item-text sidebar-link">
@@ -252,6 +261,8 @@
   </div>
 </li>
       </ul>
+  </li>
+      </ul>
   </li>
     </ul>
     </div>
@@ -319,9 +330,6 @@ <h1 class="title">FastAI Notes</h1>
 <th>
 Description
 </th>
-<th>
-Date
-</th>
 </tr>
 </thead>
 <tbody class="list">
@@ -332,9 +340,6 @@ <h1 class="title">FastAI Notes</h1>
 <td>
 <span class="listing-description"><strong>Useful Resources</strong> Alliance MAP JH’s jupyter NB 101 Kaggle: Comprehensive data exploration with…</span>
 </td>
-<td>
-<span class="listing-date">Dec 31, 2023</span>
-</td>
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 <td>
@@ -343,9 +348,6 @@ <h1 class="title">FastAI Notes</h1>
 <td>
 <span class="listing-description">DataLoaders - Dataloaders is a container which…</span>
 </td>
-<td>
-<span class="listing-date">Jan 11, 2024</span>
-</td>
 </tr>
 <tr data-index="2" data-categories="Notes,FastAI,History,Neural Network,Theory" data-listing-date-sort="1705084200000" data-listing-file-modified-sort="1705699263435" data-listing-date-modified-sort="1705084200000" data-listing-reading-time-sort="5" data-listing-title-sort="FastAI Lecture 03" data-listing-filename-sort="FastAI Lecture 03.qmd">
 <td>
@@ -354,9 +356,6 @@ <h1 class="title">FastAI Notes</h1>
 <td>
 <span class="listing-description">Rectified linear Unit : y = mx + b ##…</span>
 </td>
-<td>
-<span class="listing-date">Jan 13, 2024</span>
-</td>
 </tr>
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 <td>
@@ -365,9 +364,6 @@ <h1 class="title">FastAI Notes</h1>
 <td>
 <span class="listing-description">We’ll be taking a look at package managers like…</span>
 </td>
-<td>
-<span class="listing-date">Dec 29, 2023</span>
-</td>
 </tr>
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 <td>
@@ -376,9 +372,6 @@ <h1 class="title">FastAI Notes</h1>
 <td>
 <span class="listing-description">Page contains some of the common…</span>
 </td>
-<td>
-<span class="listing-date">Dec 31, 2023</span>
-</td>
 </tr>
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 <meta name="quarto:offset" content="../">
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 <script src="../site_libs/quarto-html/quarto.js"></script>
 <script src="../site_libs/quarto-html/popper.min.js"></script>
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-    <a class="nav-link" href="../notes/index.html" rel="" target="">
+    <a class="nav-link active" href="../notes/index.html" rel="" target="" aria-current="page">
  <span class="menu-text">Notes</span></a>
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 </ul>
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+      <nav class="quarto-page-breadcrumbs" aria-label="breadcrumb"><ol class="breadcrumb"><li class="breadcrumb-item"><a href="../notes/index.html">Notes</a></li><li class="breadcrumb-item"><a href="../notes/Matplotlib.html">Matplotlib</a></li></ol></nav>
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@@ -177,33 +178,42 @@
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     <ul class="list-unstyled mt-1">
-        <li class="sidebar-item">
+        <li class="sidebar-item sidebar-item-section">
+      <div class="sidebar-item-container"> 
+            <a href="../notes/index.html" class="sidebar-item-text sidebar-link">
+ <span class="menu-text">Notes</span></a>
+          <a class="sidebar-item-toggle text-start" data-bs-toggle="collapse" data-bs-target="#quarto-sidebar-section-1" aria-expanded="true" aria-label="Toggle section">
+            <i class="bi bi-chevron-right ms-2"></i>
+          </a> 
+      </div>
+      <ul id="quarto-sidebar-section-1" class="collapse list-unstyled sidebar-section depth1 show">  
+          <li class="sidebar-item">
   <div class="sidebar-item-container"> 
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  <span class="menu-text">Matplotlib</span></a>
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 </li>
-        <li class="sidebar-item">
+          <li class="sidebar-item">
   <div class="sidebar-item-container"> 
   <a href="../notes/Networking.html" class="sidebar-item-text sidebar-link">
  <span class="menu-text">Internet</span></a>
   </div>
 </li>
-        <li class="sidebar-item">
+          <li class="sidebar-item">
   <div class="sidebar-item-container"> 
   <a href="../notes/PyTorch.html" class="sidebar-item-text sidebar-link">
  <span class="menu-text">PyTorch Reference</span></a>
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 </li>
-        <li class="sidebar-item sidebar-item-section">
+          <li class="sidebar-item sidebar-item-section">
       <div class="sidebar-item-container"> 
             <a href="../notes/FastAI/index.html" class="sidebar-item-text sidebar-link">
  <span class="menu-text">FastAI Notes</span></a>
-          <a class="sidebar-item-toggle text-start" data-bs-toggle="collapse" data-bs-target="#quarto-sidebar-section-1" aria-expanded="true" aria-label="Toggle section">
+          <a class="sidebar-item-toggle text-start collapsed" data-bs-toggle="collapse" data-bs-target="#quarto-sidebar-section-2" aria-expanded="false" aria-label="Toggle section">
             <i class="bi bi-chevron-right ms-2"></i>
           </a> 
       </div>
-      <ul id="quarto-sidebar-section-1" class="collapse list-unstyled sidebar-section depth1 show">  
+      <ul id="quarto-sidebar-section-2" class="collapse list-unstyled sidebar-section depth2 ">  
           <li class="sidebar-item">
   <div class="sidebar-item-container"> 
   <a href="../notes/FastAI/FastAI Lecture 01.html" class="sidebar-item-text sidebar-link">
@@ -236,15 +246,15 @@
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-        <li class="sidebar-item sidebar-item-section">
+          <li class="sidebar-item sidebar-item-section">
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  <span class="menu-text">Utility</span></a>
-          <a class="sidebar-item-toggle text-start" data-bs-toggle="collapse" data-bs-target="#quarto-sidebar-section-2" aria-expanded="true" aria-label="Toggle section">
+          <a class="sidebar-item-toggle text-start collapsed" data-bs-toggle="collapse" data-bs-target="#quarto-sidebar-section-3" aria-expanded="false" aria-label="Toggle section">
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+      <ul id="quarto-sidebar-section-3" class="collapse list-unstyled sidebar-section depth2 ">  
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   <div class="sidebar-item-container"> 
   <a href="../notes/Utility/Kaggle.html" class="sidebar-item-text sidebar-link">
@@ -252,6 +262,8 @@
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 </li>
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 </script>
 <nav class="page-navigation">
   <div class="nav-page nav-page-previous">
+      <a href="../notes/index.html" class="pagination-link">
+        <i class="bi bi-arrow-left-short"></i> <span class="nav-page-text">Notes</span>
+      </a>          
   </div>
   <div class="nav-page nav-page-next">
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diff --git a/notes/Networking.html b/notes/Networking.html
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-    <a class="nav-link" href="../notes/index.html" rel="" target="">
+    <a class="nav-link active" href="../notes/index.html" rel="" target="" aria-current="page">
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-      <nav class="quarto-page-breadcrumbs" aria-label="breadcrumb"><ol class="breadcrumb"><li class="breadcrumb-item"><a href="../notes/Networking.html">Internet</a></li></ol></nav>
+      <nav class="quarto-page-breadcrumbs" aria-label="breadcrumb"><ol class="breadcrumb"><li class="breadcrumb-item"><a href="../notes/index.html">Notes</a></li><li class="breadcrumb-item"><a href="../notes/Networking.html">Internet</a></li></ol></nav>
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@@ -142,33 +142,42 @@
         </div>
     <div class="sidebar-menu-container"> 
     <ul class="list-unstyled mt-1">
-        <li class="sidebar-item">
+        <li class="sidebar-item sidebar-item-section">
+      <div class="sidebar-item-container"> 
+            <a href="../notes/index.html" class="sidebar-item-text sidebar-link">
+ <span class="menu-text">Notes</span></a>
+          <a class="sidebar-item-toggle text-start" data-bs-toggle="collapse" data-bs-target="#quarto-sidebar-section-1" aria-expanded="true" aria-label="Toggle section">
+            <i class="bi bi-chevron-right ms-2"></i>
+          </a> 
+      </div>
+      <ul id="quarto-sidebar-section-1" class="collapse list-unstyled sidebar-section depth1 show">  
+          <li class="sidebar-item">
   <div class="sidebar-item-container"> 
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  <span class="menu-text">Matplotlib</span></a>
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-        <li class="sidebar-item">
+          <li class="sidebar-item">
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  <span class="menu-text">Internet</span></a>
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 </li>
-        <li class="sidebar-item">
+          <li class="sidebar-item">
   <div class="sidebar-item-container"> 
   <a href="../notes/PyTorch.html" class="sidebar-item-text sidebar-link">
  <span class="menu-text">PyTorch Reference</span></a>
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 </li>
-        <li class="sidebar-item sidebar-item-section">
+          <li class="sidebar-item sidebar-item-section">
       <div class="sidebar-item-container"> 
             <a href="../notes/FastAI/index.html" class="sidebar-item-text sidebar-link">
  <span class="menu-text">FastAI Notes</span></a>
-          <a class="sidebar-item-toggle text-start" data-bs-toggle="collapse" data-bs-target="#quarto-sidebar-section-1" aria-expanded="true" aria-label="Toggle section">
+          <a class="sidebar-item-toggle text-start collapsed" data-bs-toggle="collapse" data-bs-target="#quarto-sidebar-section-2" aria-expanded="false" aria-label="Toggle section">
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           </a> 
       </div>
-      <ul id="quarto-sidebar-section-1" class="collapse list-unstyled sidebar-section depth1 show">  
+      <ul id="quarto-sidebar-section-2" class="collapse list-unstyled sidebar-section depth2 ">  
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   <div class="sidebar-item-container"> 
   <a href="../notes/FastAI/FastAI Lecture 01.html" class="sidebar-item-text sidebar-link">
@@ -201,15 +210,15 @@
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       </ul>
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-        <li class="sidebar-item sidebar-item-section">
+          <li class="sidebar-item sidebar-item-section">
       <div class="sidebar-item-container"> 
             <a href="../notes/Utility/index.html" class="sidebar-item-text sidebar-link">
  <span class="menu-text">Utility</span></a>
-          <a class="sidebar-item-toggle text-start" data-bs-toggle="collapse" data-bs-target="#quarto-sidebar-section-2" aria-expanded="true" aria-label="Toggle section">
+          <a class="sidebar-item-toggle text-start collapsed" data-bs-toggle="collapse" data-bs-target="#quarto-sidebar-section-3" aria-expanded="false" aria-label="Toggle section">
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           </a> 
       </div>
-      <ul id="quarto-sidebar-section-2" class="collapse list-unstyled sidebar-section depth1 show">  
+      <ul id="quarto-sidebar-section-3" class="collapse list-unstyled sidebar-section depth2 ">  
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   <div class="sidebar-item-container"> 
   <a href="../notes/Utility/Kaggle.html" class="sidebar-item-text sidebar-link">
@@ -217,6 +226,8 @@
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 </li>
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   <li class="nav-item">
-    <a class="nav-link" href="../notes/index.html" rel="" target="">
+    <a class="nav-link active" href="../notes/index.html" rel="" target="" aria-current="page">
  <span class="menu-text">Notes</span></a>
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 </ul>
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@@ -178,33 +178,42 @@
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     <ul class="list-unstyled mt-1">
-        <li class="sidebar-item">
+        <li class="sidebar-item sidebar-item-section">
+      <div class="sidebar-item-container"> 
+            <a href="../notes/index.html" class="sidebar-item-text sidebar-link">
+ <span class="menu-text">Notes</span></a>
+          <a class="sidebar-item-toggle text-start" data-bs-toggle="collapse" data-bs-target="#quarto-sidebar-section-1" aria-expanded="true" aria-label="Toggle section">
+            <i class="bi bi-chevron-right ms-2"></i>
+          </a> 
+      </div>
+      <ul id="quarto-sidebar-section-1" class="collapse list-unstyled sidebar-section depth1 show">  
+          <li class="sidebar-item">
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-        <li class="sidebar-item">
+          <li class="sidebar-item">
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  <span class="menu-text">Internet</span></a>
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+          <li class="sidebar-item">
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  <span class="menu-text">PyTorch Reference</span></a>
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-        <li class="sidebar-item sidebar-item-section">
+          <li class="sidebar-item sidebar-item-section">
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+          <a class="sidebar-item-toggle text-start collapsed" data-bs-toggle="collapse" data-bs-target="#quarto-sidebar-section-2" aria-expanded="false" aria-label="Toggle section">
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           </a> 
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-      <ul id="quarto-sidebar-section-1" class="collapse list-unstyled sidebar-section depth1 show">  
+      <ul id="quarto-sidebar-section-2" class="collapse list-unstyled sidebar-section depth2 ">  
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   <div class="sidebar-item-container"> 
   <a href="../notes/FastAI/FastAI Lecture 01.html" class="sidebar-item-text sidebar-link">
@@ -237,15 +246,15 @@
 </li>
       </ul>
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-        <li class="sidebar-item sidebar-item-section">
+          <li class="sidebar-item sidebar-item-section">
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  <span class="menu-text">Utility</span></a>
-          <a class="sidebar-item-toggle text-start" data-bs-toggle="collapse" data-bs-target="#quarto-sidebar-section-2" aria-expanded="true" aria-label="Toggle section">
+          <a class="sidebar-item-toggle text-start collapsed" data-bs-toggle="collapse" data-bs-target="#quarto-sidebar-section-3" aria-expanded="false" aria-label="Toggle section">
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           </a> 
       </div>
-      <ul id="quarto-sidebar-section-2" class="collapse list-unstyled sidebar-section depth1 show">  
+      <ul id="quarto-sidebar-section-3" class="collapse list-unstyled sidebar-section depth2 ">  
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   <div class="sidebar-item-container"> 
   <a href="../notes/Utility/Kaggle.html" class="sidebar-item-text sidebar-link">
@@ -253,6 +262,8 @@
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 </li>
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+  </li>
+      </ul>
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index d35b108..7db3b8e 100644
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-    <a class="nav-link" href="../../notes/index.html" rel="" target="">
+    <a class="nav-link active" href="../../notes/index.html" rel="" target="" aria-current="page">
  <span class="menu-text">Notes</span></a>
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+      <nav class="quarto-page-breadcrumbs" aria-label="breadcrumb"><ol class="breadcrumb"><li class="breadcrumb-item"><a href="../../notes/index.html">Notes</a></li><li class="breadcrumb-item"><a href="../../notes/Utility/index.html">Utility</a></li><li class="breadcrumb-item"><a href="../../notes/Utility/Kaggle.html">Kaggle</a></li></ol></nav>
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@@ -177,33 +177,42 @@
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     <div class="sidebar-menu-container"> 
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-        <li class="sidebar-item">
+        <li class="sidebar-item sidebar-item-section">
+      <div class="sidebar-item-container"> 
+            <a href="../../notes/index.html" class="sidebar-item-text sidebar-link">
+ <span class="menu-text">Notes</span></a>
+          <a class="sidebar-item-toggle text-start" data-bs-toggle="collapse" data-bs-target="#quarto-sidebar-section-1" aria-expanded="true" aria-label="Toggle section">
+            <i class="bi bi-chevron-right ms-2"></i>
+          </a> 
+      </div>
+      <ul id="quarto-sidebar-section-1" class="collapse list-unstyled sidebar-section depth1 show">  
+          <li class="sidebar-item">
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  <span class="menu-text">Matplotlib</span></a>
   </div>
 </li>
-        <li class="sidebar-item">
+          <li class="sidebar-item">
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  <span class="menu-text">Internet</span></a>
   </div>
 </li>
-        <li class="sidebar-item">
+          <li class="sidebar-item">
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  <span class="menu-text">PyTorch Reference</span></a>
   </div>
 </li>
-        <li class="sidebar-item sidebar-item-section">
+          <li class="sidebar-item sidebar-item-section">
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  <span class="menu-text">FastAI Notes</span></a>
-          <a class="sidebar-item-toggle text-start" data-bs-toggle="collapse" data-bs-target="#quarto-sidebar-section-1" aria-expanded="true" aria-label="Toggle section">
+          <a class="sidebar-item-toggle text-start collapsed" data-bs-toggle="collapse" data-bs-target="#quarto-sidebar-section-2" aria-expanded="false" aria-label="Toggle section">
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           </a> 
       </div>
-      <ul id="quarto-sidebar-section-1" class="collapse list-unstyled sidebar-section depth1 show">  
+      <ul id="quarto-sidebar-section-2" class="collapse list-unstyled sidebar-section depth2 ">  
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   <div class="sidebar-item-container"> 
   <a href="../../notes/FastAI/FastAI Lecture 01.html" class="sidebar-item-text sidebar-link">
@@ -236,15 +245,15 @@
 </li>
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-        <li class="sidebar-item sidebar-item-section">
+          <li class="sidebar-item sidebar-item-section">
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  <span class="menu-text">Utility</span></a>
-          <a class="sidebar-item-toggle text-start" data-bs-toggle="collapse" data-bs-target="#quarto-sidebar-section-2" aria-expanded="true" aria-label="Toggle section">
+          <a class="sidebar-item-toggle text-start" data-bs-toggle="collapse" data-bs-target="#quarto-sidebar-section-3" aria-expanded="true" aria-label="Toggle section">
             <i class="bi bi-chevron-right ms-2"></i>
           </a> 
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-      <ul id="quarto-sidebar-section-2" class="collapse list-unstyled sidebar-section depth1 show">  
+      <ul id="quarto-sidebar-section-3" class="collapse list-unstyled sidebar-section depth2 show">  
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   <div class="sidebar-item-container"> 
   <a href="../../notes/Utility/Kaggle.html" class="sidebar-item-text sidebar-link active">
@@ -252,6 +261,8 @@
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 </li>
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+  </li>
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index 8c761a5..bfdbeac 100644
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             <ul class="navbar-nav navbar-nav-scroll me-auto">
   <li class="nav-item">
-    <a class="nav-link" href="../../notes/index.html" rel="" target="">
+    <a class="nav-link active" href="../../notes/index.html" rel="" target="" aria-current="page">
  <span class="menu-text">Notes</span></a>
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+      <nav class="quarto-page-breadcrumbs" aria-label="breadcrumb"><ol class="breadcrumb"><li class="breadcrumb-item"><a href="../../notes/index.html">Notes</a></li><li class="breadcrumb-item"><a href="../../notes/Utility/index.html">Utility</a></li></ol></nav>
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@@ -177,33 +177,42 @@
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     <div class="sidebar-menu-container"> 
     <ul class="list-unstyled mt-1">
-        <li class="sidebar-item">
+        <li class="sidebar-item sidebar-item-section">
+      <div class="sidebar-item-container"> 
+            <a href="../../notes/index.html" class="sidebar-item-text sidebar-link">
+ <span class="menu-text">Notes</span></a>
+          <a class="sidebar-item-toggle text-start" data-bs-toggle="collapse" data-bs-target="#quarto-sidebar-section-1" aria-expanded="true" aria-label="Toggle section">
+            <i class="bi bi-chevron-right ms-2"></i>
+          </a> 
+      </div>
+      <ul id="quarto-sidebar-section-1" class="collapse list-unstyled sidebar-section depth1 show">  
+          <li class="sidebar-item">
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   <a href="../../notes/Matplotlib.html" class="sidebar-item-text sidebar-link">
  <span class="menu-text">Matplotlib</span></a>
   </div>
 </li>
-        <li class="sidebar-item">
+          <li class="sidebar-item">
   <div class="sidebar-item-container"> 
   <a href="../../notes/Networking.html" class="sidebar-item-text sidebar-link">
  <span class="menu-text">Internet</span></a>
   </div>
 </li>
-        <li class="sidebar-item">
+          <li class="sidebar-item">
   <div class="sidebar-item-container"> 
   <a href="../../notes/PyTorch.html" class="sidebar-item-text sidebar-link">
  <span class="menu-text">PyTorch Reference</span></a>
   </div>
 </li>
-        <li class="sidebar-item sidebar-item-section">
+          <li class="sidebar-item sidebar-item-section">
       <div class="sidebar-item-container"> 
             <a href="../../notes/FastAI/index.html" class="sidebar-item-text sidebar-link">
  <span class="menu-text">FastAI Notes</span></a>
-          <a class="sidebar-item-toggle text-start" data-bs-toggle="collapse" data-bs-target="#quarto-sidebar-section-1" aria-expanded="true" aria-label="Toggle section">
+          <a class="sidebar-item-toggle text-start collapsed" data-bs-toggle="collapse" data-bs-target="#quarto-sidebar-section-2" aria-expanded="false" aria-label="Toggle section">
             <i class="bi bi-chevron-right ms-2"></i>
           </a> 
       </div>
-      <ul id="quarto-sidebar-section-1" class="collapse list-unstyled sidebar-section depth1 show">  
+      <ul id="quarto-sidebar-section-2" class="collapse list-unstyled sidebar-section depth2 ">  
           <li class="sidebar-item">
   <div class="sidebar-item-container"> 
   <a href="../../notes/FastAI/FastAI Lecture 01.html" class="sidebar-item-text sidebar-link">
@@ -236,15 +245,15 @@
 </li>
       </ul>
   </li>
-        <li class="sidebar-item sidebar-item-section">
+          <li class="sidebar-item sidebar-item-section">
       <div class="sidebar-item-container"> 
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  <span class="menu-text">Utility</span></a>
-          <a class="sidebar-item-toggle text-start" data-bs-toggle="collapse" data-bs-target="#quarto-sidebar-section-2" aria-expanded="true" aria-label="Toggle section">
+          <a class="sidebar-item-toggle text-start" data-bs-toggle="collapse" data-bs-target="#quarto-sidebar-section-3" aria-expanded="true" aria-label="Toggle section">
             <i class="bi bi-chevron-right ms-2"></i>
           </a> 
       </div>
-      <ul id="quarto-sidebar-section-2" class="collapse list-unstyled sidebar-section depth1 show">  
+      <ul id="quarto-sidebar-section-3" class="collapse list-unstyled sidebar-section depth2 show">  
           <li class="sidebar-item">
   <div class="sidebar-item-container"> 
   <a href="../../notes/Utility/Kaggle.html" class="sidebar-item-text sidebar-link">
@@ -252,6 +261,8 @@
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 </li>
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+  </li>
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     </ul>
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diff --git a/notes/index.html b/notes/index.html
index 47c4a14..41a5788 100644
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 <script src="../site_libs/quarto-search/fuse.min.js"></script>
 <script src="../site_libs/quarto-search/quarto-search.js"></script>
 <meta name="quarto:offset" content="../">
+<link href="../notes/Matplotlib.html" rel="next">
 <script src="../site_libs/quarto-listing/list.min.js"></script>
 <script src="../site_libs/quarto-listing/quarto-listing.js"></script>
 <script src="../site_libs/quarto-html/quarto.js"></script>
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       </button>
-      <nav class="quarto-page-breadcrumbs" aria-label="breadcrumb"><ol class="breadcrumb"><li class="breadcrumb-item">Notes</li></ol></nav>
+      <nav class="quarto-page-breadcrumbs" aria-label="breadcrumb"><ol class="breadcrumb"><li class="breadcrumb-item"><a href="../notes/index.html">Notes</a></li></ol></nav>
       <a class="flex-grow-1" role="button" data-bs-toggle="collapse" data-bs-target="#quarto-sidebar,#quarto-sidebar-glass" aria-controls="quarto-sidebar" aria-expanded="false" aria-label="Toggle sidebar navigation" onclick="if (window.quartoToggleHeadroom) { window.quartoToggleHeadroom(); }">      
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@@ -173,33 +174,42 @@
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     <div class="sidebar-menu-container"> 
     <ul class="list-unstyled mt-1">
-        <li class="sidebar-item">
+        <li class="sidebar-item sidebar-item-section">
+      <div class="sidebar-item-container"> 
+            <a href="../notes/index.html" class="sidebar-item-text sidebar-link active">
+ <span class="menu-text">Notes</span></a>
+          <a class="sidebar-item-toggle text-start" data-bs-toggle="collapse" data-bs-target="#quarto-sidebar-section-1" aria-expanded="true" aria-label="Toggle section">
+            <i class="bi bi-chevron-right ms-2"></i>
+          </a> 
+      </div>
+      <ul id="quarto-sidebar-section-1" class="collapse list-unstyled sidebar-section depth1 show">  
+          <li class="sidebar-item">
   <div class="sidebar-item-container"> 
   <a href="../notes/Matplotlib.html" class="sidebar-item-text sidebar-link">
  <span class="menu-text">Matplotlib</span></a>
   </div>
 </li>
-        <li class="sidebar-item">
+          <li class="sidebar-item">
   <div class="sidebar-item-container"> 
   <a href="../notes/Networking.html" class="sidebar-item-text sidebar-link">
  <span class="menu-text">Internet</span></a>
   </div>
 </li>
-        <li class="sidebar-item">
+          <li class="sidebar-item">
   <div class="sidebar-item-container"> 
   <a href="../notes/PyTorch.html" class="sidebar-item-text sidebar-link">
  <span class="menu-text">PyTorch Reference</span></a>
   </div>
 </li>
-        <li class="sidebar-item sidebar-item-section">
+          <li class="sidebar-item sidebar-item-section">
       <div class="sidebar-item-container"> 
             <a href="../notes/FastAI/index.html" class="sidebar-item-text sidebar-link">
  <span class="menu-text">FastAI Notes</span></a>
-          <a class="sidebar-item-toggle text-start" data-bs-toggle="collapse" data-bs-target="#quarto-sidebar-section-1" aria-expanded="true" aria-label="Toggle section">
+          <a class="sidebar-item-toggle text-start collapsed" data-bs-toggle="collapse" data-bs-target="#quarto-sidebar-section-2" aria-expanded="false" aria-label="Toggle section">
             <i class="bi bi-chevron-right ms-2"></i>
           </a> 
       </div>
-      <ul id="quarto-sidebar-section-1" class="collapse list-unstyled sidebar-section depth1 show">  
+      <ul id="quarto-sidebar-section-2" class="collapse list-unstyled sidebar-section depth2 ">  
           <li class="sidebar-item">
   <div class="sidebar-item-container"> 
   <a href="../notes/FastAI/FastAI Lecture 01.html" class="sidebar-item-text sidebar-link">
@@ -232,15 +242,15 @@
 </li>
       </ul>
   </li>
-        <li class="sidebar-item sidebar-item-section">
+          <li class="sidebar-item sidebar-item-section">
       <div class="sidebar-item-container"> 
             <a href="../notes/Utility/index.html" class="sidebar-item-text sidebar-link">
  <span class="menu-text">Utility</span></a>
-          <a class="sidebar-item-toggle text-start" data-bs-toggle="collapse" data-bs-target="#quarto-sidebar-section-2" aria-expanded="true" aria-label="Toggle section">
+          <a class="sidebar-item-toggle text-start collapsed" data-bs-toggle="collapse" data-bs-target="#quarto-sidebar-section-3" aria-expanded="false" aria-label="Toggle section">
             <i class="bi bi-chevron-right ms-2"></i>
           </a> 
       </div>
-      <ul id="quarto-sidebar-section-2" class="collapse list-unstyled sidebar-section depth1 show">  
+      <ul id="quarto-sidebar-section-3" class="collapse list-unstyled sidebar-section depth2 ">  
           <li class="sidebar-item">
   <div class="sidebar-item-container"> 
   <a href="../notes/Utility/Kaggle.html" class="sidebar-item-text sidebar-link">
@@ -248,6 +258,8 @@
   </div>
 </li>
       </ul>
+  </li>
+      </ul>
   </li>
     </ul>
     </div>
@@ -295,7 +307,7 @@ <h1 class="title">Notes</h1>
 </tr>
 </thead>
 <tbody class="list">
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+<tr data-index="0" data-categories="notes,FastAI" data-listing-date-sort="1703788200000" data-listing-file-modified-sort="1705878687719" data-listing-date-modified-sort="1703874600000" data-listing-reading-time-sort="1" data-listing-title-sort="FastAI Notes" data-listing-filename-sort="index.qmd">
 <td>
 <a href="../notes/FastAI/index.html" class="title listing-title">FastAI Notes</a>
 </td>
@@ -690,6 +702,15 @@ <h1 class="title">Notes</h1>
   }
 });
 </script>
+<nav class="page-navigation">
+  <div class="nav-page nav-page-previous">
+  </div>
+  <div class="nav-page nav-page-next">
+      <a href="../notes/Matplotlib.html" class="pagination-link">
+        <span class="nav-page-text">Matplotlib</span> <i class="bi bi-arrow-right-short"></i>
+      </a>
+  </div>
+</nav>
 </div> <!-- /content -->
 <footer class="footer">
   <div class="nav-footer">
diff --git a/projects.html b/projects.html
index 7038bbf..2b1d5cb 100644
--- a/projects.html
+++ b/projects.html
@@ -6,6 +6,7 @@
 
 <meta name="viewport" content="width=device-width, initial-scale=1.0, user-scalable=yes">
 
+<meta name="author" content="Agastya Patel">
 
 <title>Agastya Patel - Projects</title>
 <style>
@@ -30,8 +31,6 @@
 <script src="site_libs/quarto-search/fuse.min.js"></script>
 <script src="site_libs/quarto-search/quarto-search.js"></script>
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 <script src="site_libs/quarto-html/tippy.umd.min.js"></script>
@@ -63,43 +62,12 @@
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   }
 }</script>
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 <link rel="stylesheet" href="styles.css">
 </head>
 
-<body class="nav-sidebar docked nav-fixed">
+<body class="nav-fixed">
 
 <div id="quarto-search-results"></div>
   <header id="quarto-header" class="headroom fixed-top">
@@ -148,149 +116,94 @@
           </div> <!-- /navcollapse -->
       </div> <!-- /container-fluid -->
     </nav>
-  <nav class="quarto-secondary-nav">
-    <div class="container-fluid d-flex">
-      <button type="button" class="quarto-btn-toggle btn" data-bs-toggle="collapse" data-bs-target="#quarto-sidebar,#quarto-sidebar-glass" aria-controls="quarto-sidebar" aria-expanded="false" aria-label="Toggle sidebar navigation" onclick="if (window.quartoToggleHeadroom) { window.quartoToggleHeadroom(); }">
-        <i class="bi bi-layout-text-sidebar-reverse"></i>
-      </button>
-      <nav class="quarto-page-breadcrumbs" aria-label="breadcrumb"><ol class="breadcrumb"><li class="breadcrumb-item">Projects</li></ol></nav>
-      <a class="flex-grow-1" role="button" data-bs-toggle="collapse" data-bs-target="#quarto-sidebar,#quarto-sidebar-glass" aria-controls="quarto-sidebar" aria-expanded="false" aria-label="Toggle sidebar navigation" onclick="if (window.quartoToggleHeadroom) { window.quartoToggleHeadroom(); }">      
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-      <button type="button" class="btn quarto-search-button" aria-label="" onclick="window.quartoOpenSearch();">
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 </header>
 <!-- content -->
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   <div class="quarto-title-banner page-columns page-full">
-    <div class="quarto-title column-body">
-      <h1 class="title">Projects</h1>
-                      </div>
+    <div class="quarto-title column-page-left">
+      <h1 class="title">FastAI Projects</h1>
+                                <div class="quarto-categories">
+                <div class="quarto-category">Projects</div>
+              </div>
+                  </div>
   </div>
     
   
   <div class="quarto-title-meta">
 
+      <div>
+      <div class="quarto-title-meta-heading">Author</div>
+      <div class="quarto-title-meta-contents">
+               <p>Agastya Patel </p>
+            </div>
+    </div>
       
     
+      <div>
+      <div class="quarto-title-meta-heading">Modified</div>
+      <div class="quarto-title-meta-contents">
+        <p class="date-modified">January 22, 2024</p>
+      </div>
+    </div>
       
     </div>
     
   
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- <span class="menu-text">Matplotlib</span></a>
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- <span class="menu-text">FastAI Lecture 03</span></a>
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- <span class="menu-text">FastAI Setup; Understanding Tools</span></a>
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-          <li class="sidebar-item">
-  <div class="sidebar-item-container"> 
-  <a href="./notes/FastAI/FastAI Snippets.html" class="sidebar-item-text sidebar-link">
- <span class="menu-text">FastAI Snippets 01</span></a>
-  </div>
-</li>
-      </ul>
-  </li>
-        <li class="sidebar-item sidebar-item-section">
-      <div class="sidebar-item-container"> 
-            <a href="./notes/Utility/index.html" class="sidebar-item-text sidebar-link">
- <span class="menu-text">Utility</span></a>
-          <a class="sidebar-item-toggle text-start" data-bs-toggle="collapse" data-bs-target="#quarto-sidebar-section-2" aria-expanded="true" aria-label="Toggle section">
-            <i class="bi bi-chevron-right ms-2"></i>
-          </a> 
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-          <li class="sidebar-item">
-  <div class="sidebar-item-container"> 
-  <a href="./notes/Utility/Kaggle.html" class="sidebar-item-text sidebar-link">
- <span class="menu-text">Kaggle</span></a>
-  </div>
-</li>
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-  </li>
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-<div id="quarto-sidebar-glass" data-bs-toggle="collapse" data-bs-target="#quarto-sidebar,#quarto-sidebar-glass"></div>
 <!-- margin-sidebar -->
     <div id="quarto-margin-sidebar" class="sidebar margin-sidebar">
-        
-    <h5 class="quarto-listing-category-title">Categories</h5><div class="quarto-listing-category category-default"><div class="category" data-category="">All <span class="quarto-category-count">(0)</span></div></div></div>
+        <nav id="TOC" role="doc-toc" class="toc-active">
+    <h2 id="toc-title">On this page</h2>
+   
+  <ul>
+  <li><a href="#fastai-projects" id="toc-fastai-projects" class="nav-link active" data-scroll-target="#fastai-projects">FastAI Projects</a></li>
+  <li><a href="#web-projects" id="toc-web-projects" class="nav-link" data-scroll-target="#web-projects">Web Projects</a></li>
+  </ul>
+</nav>
+    </div>
 <!-- main -->
-<main class="content quarto-banner-title-block column-body" id="quarto-document-content">
+<main class="content quarto-banner-title-block column-page-left" id="quarto-document-content">
 
 
 
 
+<section id="fastai-projects" class="level3">
+<h3 class="anchored" data-anchor-id="fastai-projects">FastAI Projects</h3>
+<p>These are the projects that I did during my FastAI journey. Only including the self-implemented notebooks/deployments/projects.</p>
+<table class="table">
+<thead>
+<tr class="header">
+<th>Projects</th>
+<th>Link</th>
+<th>Description</th>
+<th>Lesson Relation</th>
+</tr>
+</thead>
+<tbody>
+<tr class="odd">
+<td>Pokemon Classifier</td>
+<td><a href="https://github.com/AgastyaPatel/FastAI-course/issues/2">Thread</a>, <a href="https://huggingface.co/spaces/AgastyaPatel/Pokemon-Classifier">HF-Spaces</a></td>
+<td>Created pokemon classifier, compared the performance of few models, by looking into their history; finding good learning rate and understanding it’s usage.</td>
+<td>1,2</td>
+</tr>
+<tr class="even">
+<td>MNIST Classifier</td>
+<td></td>
+<td></td>
+<td></td>
+</tr>
+</tbody>
+</table>
+</section>
+<section id="web-projects" class="level3">
+<h3 class="anchored" data-anchor-id="web-projects">Web Projects</h3>
+<p>These are the projects which I created in my web dev learning.</p>
 
 
+</section>
 
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-</div>
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+</main> <!-- /main -->
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diff --git a/readme.html b/readme.html
index ee65338..383c81b 100644
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+++ b/readme.html
@@ -84,7 +84,7 @@
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             <ul class="navbar-nav navbar-nav-scroll me-auto">
   <li class="nav-item">
-    <a class="nav-link" href="./notes/index.html" rel="" target="">
+    <a class="nav-link active" href="./notes/index.html" rel="" target="" aria-current="page">
  <span class="menu-text">Notes</span></a>
   </li>  
 </ul>
@@ -140,33 +140,42 @@
         </div>
     <div class="sidebar-menu-container"> 
     <ul class="list-unstyled mt-1">
-        <li class="sidebar-item">
+        <li class="sidebar-item sidebar-item-section">
+      <div class="sidebar-item-container"> 
+            <a href="./notes/index.html" class="sidebar-item-text sidebar-link">
+ <span class="menu-text">Notes</span></a>
+          <a class="sidebar-item-toggle text-start" data-bs-toggle="collapse" data-bs-target="#quarto-sidebar-section-1" aria-expanded="true" aria-label="Toggle section">
+            <i class="bi bi-chevron-right ms-2"></i>
+          </a> 
+      </div>
+      <ul id="quarto-sidebar-section-1" class="collapse list-unstyled sidebar-section depth1 show">  
+          <li class="sidebar-item">
   <div class="sidebar-item-container"> 
   <a href="./notes/Matplotlib.html" class="sidebar-item-text sidebar-link">
  <span class="menu-text">Matplotlib</span></a>
   </div>
 </li>
-        <li class="sidebar-item">
+          <li class="sidebar-item">
   <div class="sidebar-item-container"> 
   <a href="./notes/Networking.html" class="sidebar-item-text sidebar-link">
  <span class="menu-text">Internet</span></a>
   </div>
 </li>
-        <li class="sidebar-item">
+          <li class="sidebar-item">
   <div class="sidebar-item-container"> 
   <a href="./notes/PyTorch.html" class="sidebar-item-text sidebar-link">
  <span class="menu-text">PyTorch Reference</span></a>
   </div>
 </li>
-        <li class="sidebar-item sidebar-item-section">
+          <li class="sidebar-item sidebar-item-section">
       <div class="sidebar-item-container"> 
             <a href="./notes/FastAI/index.html" class="sidebar-item-text sidebar-link">
  <span class="menu-text">FastAI Notes</span></a>
-          <a class="sidebar-item-toggle text-start" data-bs-toggle="collapse" data-bs-target="#quarto-sidebar-section-1" aria-expanded="true" aria-label="Toggle section">
+          <a class="sidebar-item-toggle text-start collapsed" data-bs-toggle="collapse" data-bs-target="#quarto-sidebar-section-2" aria-expanded="false" aria-label="Toggle section">
             <i class="bi bi-chevron-right ms-2"></i>
           </a> 
       </div>
-      <ul id="quarto-sidebar-section-1" class="collapse list-unstyled sidebar-section depth1 show">  
+      <ul id="quarto-sidebar-section-2" class="collapse list-unstyled sidebar-section depth2 ">  
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   <div class="sidebar-item-container"> 
   <a href="./notes/FastAI/FastAI Lecture 01.html" class="sidebar-item-text sidebar-link">
@@ -199,15 +208,15 @@
 </li>
       </ul>
   </li>
-        <li class="sidebar-item sidebar-item-section">
+          <li class="sidebar-item sidebar-item-section">
       <div class="sidebar-item-container"> 
             <a href="./notes/Utility/index.html" class="sidebar-item-text sidebar-link">
  <span class="menu-text">Utility</span></a>
-          <a class="sidebar-item-toggle text-start" data-bs-toggle="collapse" data-bs-target="#quarto-sidebar-section-2" aria-expanded="true" aria-label="Toggle section">
+          <a class="sidebar-item-toggle text-start collapsed" data-bs-toggle="collapse" data-bs-target="#quarto-sidebar-section-3" aria-expanded="false" aria-label="Toggle section">
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-      <ul id="quarto-sidebar-section-2" class="collapse list-unstyled sidebar-section depth1 show">  
+      <ul id="quarto-sidebar-section-3" class="collapse list-unstyled sidebar-section depth2 ">  
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@@ -215,6 +224,8 @@
   </div>
 </li>
       </ul>
+  </li>
+      </ul>
   </li>
     </ul>
     </div>
diff --git a/search.json b/search.json
index a8507e9..da68aa0 100644
--- a/search.json
+++ b/search.json
@@ -7,123 +7,130 @@
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-    "href": "notesIndex.html",
-    "title": "Notes",
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+    "text": "pip install kaggle\nSetup the JSON: User have to set their email and key in this json file. Linux: ~/.kaggle/kaggle.json Windows: C:&lt;Windows-username&gt;.kaggle.json ### Create New Notebook in Local Initialize : kaggle kernels init -p /path/to/folder In your nb folder a metadata file will be generated Set title and id; prefer to keep them same and just strip spaces, caps and symbols in id; Add your nb name and any dataset used. &gt; More on metadata key values: https://github.com/Kaggle/kaggle-api/wiki/Kernel-Metadata\n\nPush Command kaggle kernels push -p /path/to/folder (remove path flag if in cwd is dir with nb) ### Accessing Dataset\nkaggle datasets list -s [KEYWORD]      //Search\nkaggle datasets download -d [DATASET]  //download\n\n\n\nInitialize: kaggle datasets init -p /path/to/dataset Add metadata in datapackage.json Push: kaggle datasets create -p /path/to/dataset"
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+    "href": "notes/Utility/Kaggle.html#access-kaggle-on-your-machine",
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     "section": "",
-    "text": "This folder contains all the small utility snippets which you’d be using in daily operations.\n\n\n\n\n\n\n\n\n\n\nTitle\n\n\nDescription\n\n\nDate\n\n\n\n\n\n\nKaggle\n\n\n\n\n\nJan 20, 2024\n\n\n\n\n\n\nNo matching items"
+    "text": "pip install kaggle\nSetup the JSON: User have to set their email and key in this json file. Linux: ~/.kaggle/kaggle.json Windows: C:&lt;Windows-username&gt;.kaggle.json ### Create New Notebook in Local Initialize : kaggle kernels init -p /path/to/folder In your nb folder a metadata file will be generated Set title and id; prefer to keep them same and just strip spaces, caps and symbols in id; Add your nb name and any dataset used. &gt; More on metadata key values: https://github.com/Kaggle/kaggle-api/wiki/Kernel-Metadata\n\nPush Command kaggle kernels push -p /path/to/folder (remove path flag if in cwd is dir with nb) ### Accessing Dataset\nkaggle datasets list -s [KEYWORD]      //Search\nkaggle datasets download -d [DATASET]  //download\n\n\n\nInitialize: kaggle datasets init -p /path/to/dataset Add metadata in datapackage.json Push: kaggle datasets create -p /path/to/dataset"
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-    "text": "Global network of billions of electronic devices which acts as servers or clients.\nServers are machines which provide services to other machines.\nClients are machines used to connect to those services.\n\nQ. How do we distinguish each machines? Q. How do we transmit data\n\n\n\n\n\n\n\nWAN (Wide Area Network):\nLAN (Local Area Network)\n\n\n\n\nGroup of computers that span large geographic area.\nGroup of computers connected in limited geographic area.\n\n\nEg: Internet\nEg. Home Network, School Network\n\n\n\n\n\n\nAn IP address is a unique address that is used to identify computers or nodes on the internet.\nAddresses are in this form: #.#.#.#\n\n\n[!info] Your router is the only device on the internet with this public IP Address - Inside your home, your devices have most likely received a local IP Address from router. - This local IP Address is unique on your network however, there might be other devices with same IP Address on other networks (LANs)\n\n\nIPv4: Numbers range from 0 to 255. IP addresses are 32-bits, meaning that these addresses could accommodate over 4 billion addresses.\nIPv6: Newer versions of IP addresses can accommodate far more computers! IPv6 #### What is Subnet mask? 255.255.255.0 Here 255 means that IP address amongst the devices in LAN are common where as 0 means unique to devices. #### What is Default Gateway? It is the Local IP Address for the router/modem that you are connected to.\n\ngraph TB\n  A[\"Your friend. In another house! 192.168.1.5\"] --&gt; B[[\"Router 192.168.1.1 (Local IP)\\n Router 77.45.82.17 (PUBLIC IP)\"]]\n  K[\"Your friend... In another house! 192.168.1.4\"] --&gt; B \n  B &lt;--&gt; D[\"The Internet\"]\n  D &lt;--&gt; E[[\"Router 77..45..19..6 (PUBLIC IP)\\nRouter 192..168..1..1 (LOCAL IP)\"]]\n  E --&gt; G[\"Computer 1 192.168.1.4\\n Our machine running our server on port 12345!\"]\n  E --&gt; I[\"Computer 2 192.168.1.7\"]\n  E --&gt; J[\"Computer 3 192.168.14\"]\n  E --&gt; L[\"Computer S 192.168.4.1\"]\n  E --&gt; M[\"Computer A 192.168.2.1\"]\n\n\n\nPort Address is the address that a specific application or service runs on the given computer. Port addresses can range from 0 to 65535. Some of them might be reserved for well know protocols and services. #### Common Ports and Services Port 21 - FTP File Transfer Protocol Port 22 - SSH Secure Shell Port 25 - SMTP Simple Mail Transfer Protocol Port 80 - HTTP Hyper Text Transfer Protocol Port 443 - HTTPS Hyper Text Transfer Protocol Secure\n\nnetstat -na gives entire list of open ports on Windows\n\n\n[!Warning] Port Address conflicts [todo]\n\n\n\n\n\n\n\n\nTCP is a connection based protocol.\nConnection must be made before any data is sent.\nUsed to establish a reliable, error free connection. It ensures all data was sent is received and it keeps all sent packets organized.\nFor Example HTTP and HTTPS service is based on TCP Protocol\n\n\n\n\n\nUDP is a connectionless protocol.\nNo connection has to be made before sending data\nUDP tends to be faster but you may not receive the data in order and you could have missing data."
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+    "title": "Kaggle",
+    "section": "Hugging Face",
+    "text": "Hugging Face"
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+    "href": "notes/PyTorch.html",
+    "title": "PyTorch Reference",
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-    "text": "An IP address is a unique address that is used to identify computers or nodes on the internet.\nAddresses are in this form: #.#.#.#\n\n\n[!info] Your router is the only device on the internet with this public IP Address - Inside your home, your devices have most likely received a local IP Address from router. - This local IP Address is unique on your network however, there might be other devices with same IP Address on other networks (LANs)\n\n\nIPv4: Numbers range from 0 to 255. IP addresses are 32-bits, meaning that these addresses could accommodate over 4 billion addresses.\nIPv6: Newer versions of IP addresses can accommodate far more computers! IPv6 #### What is Subnet mask? 255.255.255.0 Here 255 means that IP address amongst the devices in LAN are common where as 0 means unique to devices. #### What is Default Gateway? It is the Local IP Address for the router/modem that you are connected to.\n\ngraph TB\n  A[\"Your friend. In another house! 192.168.1.5\"] --&gt; B[[\"Router 192.168.1.1 (Local IP)\\n Router 77.45.82.17 (PUBLIC IP)\"]]\n  K[\"Your friend... In another house! 192.168.1.4\"] --&gt; B \n  B &lt;--&gt; D[\"The Internet\"]\n  D &lt;--&gt; E[[\"Router 77..45..19..6 (PUBLIC IP)\\nRouter 192..168..1..1 (LOCAL IP)\"]]\n  E --&gt; G[\"Computer 1 192.168.1.4\\n Our machine running our server on port 12345!\"]\n  E --&gt; I[\"Computer 2 192.168.1.7\"]\n  E --&gt; J[\"Computer 3 192.168.14\"]\n  E --&gt; L[\"Computer S 192.168.4.1\"]\n  E --&gt; M[\"Computer A 192.168.2.1\"]\n\n\n\nPort Address is the address that a specific application or service runs on the given computer. Port addresses can range from 0 to 65535. Some of them might be reserved for well know protocols and services. #### Common Ports and Services Port 21 - FTP File Transfer Protocol Port 22 - SSH Secure Shell Port 25 - SMTP Simple Mail Transfer Protocol Port 80 - HTTP Hyper Text Transfer Protocol Port 443 - HTTPS Hyper Text Transfer Protocol Secure\n\nnetstat -na gives entire list of open ports on Windows\n\n\n[!Warning] Port Address conflicts [todo]"
+    "text": "Creating tensor: tns = torch.tensor(2500, dtype = torch.int) ## torch.float is another dtype BaseClass for all neural networks : nn.Module nn.Linear and nn.Sequential are objects/derived class of nn.Module class/Parent Class.\nnn.Linear(2,3)  // Initializes with random paramters\n\n# Building sequential network\nmodel = nn.Sequential(  \n    nn.Linear(2,3),  \n    nn.ReLU(),  \n    nn.Linear(3,1))\nmodel(input)   //FeedForward\n\n# buildinv custom network\nclass NN_Regression(nn.Module):\n    super(NN_regression, self).__init():\n    #initialize components\n        self.layer1 = nn.Linear(3,6)\n        self.layer2 = nn.Linear(4,1)\n        self.relu = nn.ReLU()\n    def forward(self, x):\n        x = self.layer1(x)\n        x = self.relu(x)\n        x = self.layer2(x)\n        return x\n        \noptimizer = optim.Adam(model.parameters(), lr=0.01)\nloss = nn.MSELoss()\n\nMSE = loss(model(input), y)\nMSE.backward()   #Backward propogation or gradient calculation\noptimizer.step() #Stepping\noptimizer.zero_grad()  #reset the gradients\n\n# Model Evaluation\nmodel.eval()\nwith torch.no_grad():\n    test_MSE = loss(model(X_test), y_test)\ntorch.save(model, 'model.pth')\ntorch.load('model.pth')\nTo split dataset into validation and testing; use sklearn.model_selection.train_test_split"
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+    "href": "notes/PyTorch.html#pytorch-references-and-functions",
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+    "section": "PyTorch references and functions",
+    "text": "PyTorch references and functions\n\nNon Linear Functions\n\n\n\nName\nFunctions\nNotes\n\n\n\n\nReLU\nnn.ReLU()\n\n\n\nSigmoid\nnn.Sigmoid()\n\n\n\n\n\n\nLoss Functions\n\n\n\n\n\n\n\n\nName\nFunctions\nNotes\n\n\n\n\nAbsolute Mean Error or L1 norm\ntorch.nn.functional.l1_loss(a,b)\n\n\n\nRoot Mean Square Error or L2 norm\ntorch.nn.functional.mse_loss(a,b)\n\n\n\n\n\n\nOptimizers\n\n\n\nName\nFunctions\nNotes\n\n\n\n\nSGD\ntorch.optim.SGD(model_paramets, lr)\n\n\n\nAdam\ntorch.optim.ADAM(model_paramets, lr)\n\n\n\n\n\n\nLinear Regressions\n\n\n\n\n\n\n\n\nName\nFunctions\nNotes\n\n\n\n\nLinear Regression\nnn.Linear(n_weights/n_inputs, n_bias/n_outputs)\nwx + b"
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-    "text": "TCP is a connection based protocol.\nConnection must be made before any data is sent.\nUsed to establish a reliable, error free connection. It ensures all data was sent is received and it keeps all sent packets organized.\nFor Example HTTP and HTTPS service is based on TCP Protocol\n\n\n\n\n\nUDP is a connectionless protocol.\nNo connection has to be made before sending data\nUDP tends to be faster but you may not receive the data in order and you could have missing data."
+    "text": "import matplotlib.pyplot as plt\n\nplt.figure(figsize = (10,6)) //Aspect ratio of the plot\nplt.suptitle('Super Title)\nplt.set_tile('Title', loc='left)\nplt.xlabel('X Label')\nplt.ylabel('Y Label')\n\n# Create scatter points\nplt.scatter(y_test, predictions, label='Predictions', alpha=0.5, color='blue')\n# Plot a line\nplt.plot([min(y_test), max(y_test)], [min(y_test), max(y_test)], linestyle='--', color='gray', linewidth=2, label=\"Actual Observations\")\n\nplt.legend()  # Places legend on the plot\nplt.show()"
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+    "text": "FastAI chapter notes summarised and good overview\n\n\n\n\n\n\n\n\n\n\nTitle\n\n\nDescription\n\n\n\n\n\n\nFastAI Lecture 01\n\n\n\n\n\n\n\nFastAI Lecture 02\n\n\n\n\n\n\n\nFastAI Lecture 03\n\n\n\n\n\n\n\nFastAI Setup; Understanding Tools\n\n\n\n\n\n\n\nFastAI Snippets 01\n\n\n\n\n\n\n\n\n\nNo matching items"
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-    "text": "In Depth Working GET Request\n\nURL Requested\nBrowser extracts the protocol http or https and uses the specified.\nIdentifies the domain name from the URL and queries the Internet Domain Name Server (DNS/Domain Name System) to return Internet Protocol Address.\nBrowser, the client opens the opens a connection using the http protocol to the server at the IP Address resolved above.\nClient initiates a GET Request\n\n-- CLIENT GET REQUEST --\nGET / HTTP/1.1\nHost: www.codecademy.com"
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+    "text": "We’ll be taking a look at package managers like conda, mamba; peek on some important tools like bash, tmux etc."
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-    "text": "HTTP vs REST (related but distinct concepts)\nHTTP (Hypertext Transfer Protocol): - HTTP is the foundation of any data exchange on the Web. - It’s a protocol used for transferring hypertext (text that includes links to other texts, like web pages) over the internet. - It defines how messages are formatted and transmitted and what actions web servers and browsers should take in response to various commands. - In simpler terms, it’s the set of rules that allows your web browser to request a webpage from a server, and the server to send that webpage back to your browser as response.\nREST (Representational State Transfer): #Guidelines https://www.codecademy.com/article/what-is-rest - REST is an architectural style, a set of principles that are often applied when building web services. - It’s not a protocol like HTTP; instead, it’s a set of guidelines for creating scalable and stateless web services. - RESTful services use standard HTTP methods (like GET, POST, PUT, DELETE) for operations on resources (like data entities), and they represent these resources as URIs (Uniform Resource Identifiers). - RESTful services typically use JSON or XML for data exchange. - In simpler terms, REST is an approach to designing networked applications in a way that is scalable, stateless, and relies on standard HTTP methods.\n\n[!Info] Stateless Web Service: Each request from client is independent & carries all information. So, the server doesn’t store the client’s state between requests and treats each requests as isolated transaction."
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+    "section": "Setting up Windows Subsystem",
+    "text": "Setting up Windows Subsystem\n\nSet wsl\nget the miniforge/mambaforge(deprected)\nrun the miniforge.sh\nmamba install ipython\nmamba install jupyter lab\nmamba install pytorch\nconda install fastai"
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+    "section": "nvidia-smi",
+    "text": "nvidia-smi\nnvidia-smi dmon: Chec for sm and mem column ## Jupter %%debug : Used for non-graphical debugging from pdb import set_trace : set_trace() sets a breakpoint and automatically enables debugger mode ## Symblinks ### Linux ln -s target-path : Creates a symblink of the target directory in current directory ln -la : Displays the folders who are made up of symblink\n\nWindows\nYoutube Tutorial"
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-    "text": "Page contains some of the common and usefull snippets. Pathlib, parallel processing."
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+    "text": "Cloud Environments\n\nPaperspace\nQ. How to set common library? 1. pip install --user with this flag so that the lib is installed in .local 2. move the .local to /storage/.local 3. create symblink from /storage/.local as target and it would create .bash.local in storage which would fire up time new instance has been called"
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-    "section": "Path",
-    "text": "Path\nfrom pathlib import path\npath = Path() #Current Dir\n#path = Path('Content') #Relative Dir\n#path = Path('NB/content') #Absolute Dir"
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+    "text": "DataLoaders - Dataloaders is a container which contains the data (train and validation) we want to use to for our machine learning model; it organises the data. - DataLoaders class is the class that passes the data to the fastai model. It is essentially a class that required Dataloader objects (usually for train and validation subset)\nitem_tfms: Our images are all different sizes, and this is a problem for deep learning: we don’t feed the model one image at a time but several of them (what we call a mini-batch). To group them in a big array (usually called a tensor) that is going to go through our model, they all need to be of the same size. So, we need to add a transform which will resize these images to the same size. Item transforms are pieces of code that run on each individual item, whether it be an image, category, or so forth. fastai includes many predefined transforms; we use the Resize transform here:\nDataBlock: This command has given us a DataBlock object. This is like a template for creating a DataLoaders. We still need to tell fastai the actual source of our data—in this case, the path where the images can be found\nA DataLoaders includes validation and training DataLoaders. DataLoader is a class that provides batches of a few items at a time to the GPU. We’ll be learning a lot more about this class in the next chapter. When you loop through a DataLoader fastai will give you 64 (by default) items at a time, all stacked up into a single tensor. We can take a look at a few of those items by calling the show_batch method on a DataLoader: dls.valid.show_batch(max_n=4, nrows=1) dls is a dataloaders dls.valid and dls.train is dataloader"
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-    "text": "Add recent models\n!pip install timm\nimport timm\ntimm.list_models('convnext*) # Prints available model"
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+    "text": "Cropping\n\nResize(size): crops the image to fit a square of the size requested, using the full width or height.\nResizeMethod.Squish: can result in loosing of some detail as images gets squished or stretched.\nResizeMethod.Pad, pad_mode=‘zero’: Fits the image in square with black padding. These approaches are unoptimized and result in lower accurate models. We can train our model on random parts of image during each training round (EPOCH), making it adaptable to different features, similar to how photos can have different perspective. It helps the model to generalize the feature and learn the basic concept of object\nRandomResizedCrop(size, min_scale=0.3): Creates random zoom images during epoch in vram dls.train.show_batch(max_n=4, nrows=1, unique=True) We used unique=True to have the same image repeated with different versions of this RandomResizedCrop transform. This is a specific example of a more general technique, called data augmentation."
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-    "text": "Fine_Tune:\nFine Tune Freezes the weights of all layers except the last layers. Calls fit on the last layer Decreases the learning rate Unfreezes the model Fit for number of epoch specified\n\nhalf precision floating points (less precise but fast) supported on latest gpus .to_fp16() (method for learnerer)\n\n\n[!info] Learning rate and lr_find() : Is used to find good learning rate"
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+    "text": "Data Augmentation\nWith resize our images are now all the same size, we can apply these augmentations to an entire batch of them using the GPU, which will save a lot of time."
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-    "text": "Arrays/Tensor\nBroadcasting (Understand it better)\nSGD\nLoss function\nRole of mini batches\ndescribe the math that a basic neural network is actually doing\n\nRectified linear Unit : y = mx + b ## Calculating Loss ### What are derivatives? Derivatives define the rate of change for the particular function at that particular point of parameter. &gt; In machine learning key is to know how to change the parameter (weights) of a function to reduce the loss. We can use derivatives as it gives us the understanding of change which would take place on altering weights. Calculus provides derivatives which can help us create gradients of the function\n\n\nOur function has large number of weights. We calculate the derivative for one weight while we consider rest as constant and repeat the same process.\n &gt; in deep learning, “gradients” usually means the value of a function’s derivative at a particular argument value whereas in math the derivative gives us another function(rate)\npytorch provides requires_grad_() which tags the variable and keeps track to calculate derivative when passed in a function\ndef f(x): return x**2\n\nxt = tensor(3.).requires_grad_()\n\n## Calculating function with the value \nyt = f(xt)\nyt\n&gt;&gt;tensor(9., grad_fn=&lt;PowBackward0&gt;)\n\n## Asking pytorch to calculate gradient for us\nyt.backwards()\n# The \"backward\" here refers to _backpropagation_, which is the name given to the process of calculating the derivative of each layer.\n\nxt.grad\n&gt;&gt; tensor(6.)\nderivative of f(x) = x^2 is 2*x We found the same value with the xt.grad (gradient)\n\nThe gradients only tell us the slope of our function, they don’t actually tell us exactly how far to adjust the parameters. But it gives us some idea of how far; if the slope is very large, then that may suggest that we have more adjustments to do, whereas if the slope is very small, that may suggest that we are close to the optimal value.\n\nThe key difference is that the metric is to drive human understanding and the loss is to drive automated learning. To drive automated learning, the loss must be a function that has a meaningful derivative. It can’t have big flat sections and large jumps, but instead must be reasonably smooth. This is why we designed a loss function that would respond to small changes in confidence level. This requirement means that sometimes it does not really reflect exactly what we are trying to achieve, but is rather a compromise between our real goal and a function that can be optimized using its gradient. The loss function is calculated for each item in our dataset, and then at the end of an epoch the loss values are all averaged and the overall mean is reported for the epoch. Metrics, on the other hand, are the numbers that we really care about. These are the values that are printed at the end of each epoch that tell us how our model is really doing. It is important that we learn to focus on these metrics, rather than the loss, when judging the performance of a model."
+    "text": "FastAI Journey\n\n\n\n\n\n\n\nDeepLearning\n\n\nFastAI\n\n\n\n\n\n\n\n\n\n\n\nDec 27, 2023\n\n\nAgastya Patel\n\n\n\n\n\n\nNo matching items"
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+    "title": "About",
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-    "text": "Arrays/Tensor\nBroadcasting (Understand it better)\nSGD\nLoss function\nRole of mini batches\ndescribe the math that a basic neural network is actually doing\n\nRectified linear Unit : y = mx + b ## Calculating Loss ### What are derivatives? Derivatives define the rate of change for the particular function at that particular point of parameter. &gt; In machine learning key is to know how to change the parameter (weights) of a function to reduce the loss. We can use derivatives as it gives us the understanding of change which would take place on altering weights. Calculus provides derivatives which can help us create gradients of the function\n\n\nOur function has large number of weights. We calculate the derivative for one weight while we consider rest as constant and repeat the same process.\n &gt; in deep learning, “gradients” usually means the value of a function’s derivative at a particular argument value whereas in math the derivative gives us another function(rate)\npytorch provides requires_grad_() which tags the variable and keeps track to calculate derivative when passed in a function\ndef f(x): return x**2\n\nxt = tensor(3.).requires_grad_()\n\n## Calculating function with the value \nyt = f(xt)\nyt\n&gt;&gt;tensor(9., grad_fn=&lt;PowBackward0&gt;)\n\n## Asking pytorch to calculate gradient for us\nyt.backwards()\n# The \"backward\" here refers to _backpropagation_, which is the name given to the process of calculating the derivative of each layer.\n\nxt.grad\n&gt;&gt; tensor(6.)\nderivative of f(x) = x^2 is 2*x We found the same value with the xt.grad (gradient)\n\nThe gradients only tell us the slope of our function, they don’t actually tell us exactly how far to adjust the parameters. But it gives us some idea of how far; if the slope is very large, then that may suggest that we have more adjustments to do, whereas if the slope is very small, that may suggest that we are close to the optimal value.\n\nThe key difference is that the metric is to drive human understanding and the loss is to drive automated learning. To drive automated learning, the loss must be a function that has a meaningful derivative. It can’t have big flat sections and large jumps, but instead must be reasonably smooth. This is why we designed a loss function that would respond to small changes in confidence level. This requirement means that sometimes it does not really reflect exactly what we are trying to achieve, but is rather a compromise between our real goal and a function that can be optimized using its gradient. The loss function is calculated for each item in our dataset, and then at the end of an epoch the loss values are all averaged and the overall mean is reported for the epoch. Metrics, on the other hand, are the numbers that we really care about. These are the values that are printed at the end of each epoch that tell us how our model is really doing. It is important that we learn to focus on these metrics, rather than the loss, when judging the performance of a model."
+    "text": "Hi, I’m Agastya. Welcome to my second brain which I share over internet.\nI’m currently working as Technical Artist and Developer. My responsibility involves developing custom in house solutions also whilst leveraging power of open source models for the creative team. I’m currently working on shot tracking product with the cloud team.\nMy interst in deep learning has been growing over me since I started using open source models which have lead into learning about it. I believe in constant learning and hence this is a good platform for sharing what I’m currently working/learning about.\nTech Stack\n- Python, Javascript, C++, SQL, HTML -\n- Framework/libs FastAI, PyQT, Flask, DCC Based APIs -\n- DCC: Blender, Unreal, Houdini, Maya -"
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-    "text": "Loss vs Metric\n\n\n\n\n\n\n\n\nAspect\nMetric\nLoss\n\n\n\n\nPurpose Difference\nDrives human understanding of performance\nDrives automated learning by optimization\n\n\nSmoothness Requirement\nNot constrained by smoothness\nRequires smoothness for meaningful derivative\n\n\nOptimization vs. Real Goal\nReflects actual goals\nCompromise between real goals and optimization\n\n\nCalculation Process\nProvides overall model evaluation\nCalculated per item, averaged at epoch end\n\n\nFocus Consideration\nPrimary focus for judging performance\nImportant for automated learning, may not directly represent end goal"
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+    "text": "Here’s my current journey of Fast AI learning. I’ll be keeping tab of the projects and the current status of journey here!.\nMy FastAI/Course Journey: Repository\nThread/Progress: I have created issues for each project so that I can keep the tabs on changes which are being made for the project. It has been tagged has label Model-Training-Progrss on github repository.\n\nSelf - ProjectsLessonLive Coding:\n\n\n\n\n\nProjects\nLink\nDescription\nLesson Relation\n\n\n\n\nPokemon Classifier\nThread, HF-Spaces\nCreated pokemon classifier, compared the performance of few models, by looking into their history; finding good learning rate and understanding it’s usage.\n1,2\n\n\nMNIST Classifier\n\n\n\n\n\n\n\n\n\n✅ Done\n🌀 Current Sprint\n💤 Pending\n\n\n\n\nLesson\nWatched\nRead\nQuestionnaire\nRe-Implementation\n\n\n\n\n\n1\n✅\nCh 01✅\n✅\n✅\n✅\n\n\n2\n✅\nCh 02✅\n🌀\n✅\n✅\n\n\n3\n✅\nCh 04✅\n\n\n\n\n\n4\n\n\n\n\n\n\n\n5\n\n\n\n\n\n\n\n\n\n\nCompleted : 1,2,3,6,7\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nTitle\n\n\nDescription\n\n\nDate\n\n\n\n\n\n\n\n\nNo matching items"
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-    "text": "Why Batches?\nAfter loss function calculation; When should the system update weights? if loss is calculated for one item it would not be much informational as it would result in imprecise and unstable gradient if loss is calculated for entire dataset it would take very long ### Mini Batch So, we count the average loss for few data items at a time (Mini Batch) BatchSize = Number of items\n\n\n\n\n\n\n\n\n\nBatch Size\nQuality\nTime\nSize\n\n\n\n\nLarger\nmore accurate and stable estimate of your dataset’s gradients from the loss function\nlonger time to process\n will process fewer mini-batches per epoch\n\n\n\n\nNOTE: We can’t use large batch size due to limitation of GPU memory\n\n\nRandomization with mini batches\nRather than simply enumerating our dataset in order for every epoch, instead what we normally do is randomly shuffle it on every epoch, before we create mini-batches. PyTorch and fastai provide a class that will do the shuffling and mini-batch collation for you, called DataLoader.\nds = L(enumerate(string.ascii_lowercase))\nds\n&gt;&gt; (#26) [(0, 'a'),(1, 'b'),(2, 'c'),(3, 'd'),(4, 'e'),(5, 'f'),(6, 'g'),(7, 'h'),(8, 'i'),(9, 'j')...]\n\ndl = DataLoader(ds, batch_size=6, shuffle=True)\nlist(dl)\n&gt;&gt; [(tensor([17, 18, 10, 22,  8, 14]), ('r', 's', 'k', 'w', 'i', 'o')),\n (tensor([20, 15,  9, 13, 21, 12]), ('u', 'p', 'j', 'n', 'v', 'm')),\n (tensor([ 7, 25,  6,  5, 11, 23]), ('h', 'z', 'g', 'f', 'l', 'x')),\n (tensor([ 1,  3,  0, 24, 19, 16]), ('b', 'd', 'a', 'y', 't', 'q')),\n (tensor([2, 4]), ('c', 'e'))]\n\n\n\n\n\n\n\nTerm\nMeaning\n\n\n\n\nReLU\nFunction that returns 0 for negative numbers and doesn’t change positive numbers.\n\n\nMini-batch\nA small group of inputs and labels gathered together in two arrays. A gradient descent step is updated on this batch (rather than a whole epoch).\n\n\nForward pass\nApplying the model to some input and computing the predictions.\n\n\nLoss\nA value that represents how well (or badly) our model is doing.\n\n\nGradient\nThe derivative of the loss with respect to some parameter of the model.\n\n\nBackward pass\nComputing the gradients of the loss with respect to all model parameters.\n\n\nGradient descent\nTaking a step in the directions opposite to the gradients to make the model parameters a little bit better.\n\n\nLearning rate\nThe size of the step we take when applying SGD to update the parameters of the model."
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+    "title": "Back of book index",
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+    "text": "Order By\n       Default\n         \n          Date - Oldest\n        \n         \n          Date - Newest\n        \n         \n          Title\n        \n         \n          Author\n        \n     \n  \n    \n      \n      \n    \n\n\n\n\n\n\nDate\n\n\nTitle\n\n\nAuthor\n\n\n\n\n\n\nDec 27, 2023\n\n\nFastAI Journey\n\n\nAgastya Patel\n\n\n\n\nDec 31, 2023\n\n\nFastAI Lecture 01\n\n\nAgastya Patel\n\n\n\n\nJan 11, 2024\n\n\nFastAI Lecture 02\n\n\nAgastya Patel\n\n\n\n\nJan 13, 2024\n\n\nFastAI Lecture 03\n\n\nAgastya Patel\n\n\n\n\nDec 29, 2023\n\n\nFastAI Notes\n\n\nAgastya Patel\n\n\n\n\nDec 29, 2023\n\n\nFastAI Setup; Understanding Tools\n\n\nAgastya Patel\n\n\n\n\nDec 31, 2023\n\n\nFastAI Snippets 01\n\n\nAgastya Patel\n\n\n\n\nundefined\n\n\nInternet\n\n\n\n\n\n\n\nJan 20, 2024\n\n\nKaggle\n\n\nAgastya Patel\n\n\n\n\nJan 20, 2024\n\n\nMatplotlib\n\n\nAgastya Patel\n\n\n\n\nundefined\n\n\nNotes\n\n\n\n\n\n\n\nJan 16, 2024\n\n\nPyTorch Reference\n\n\nAgastya Patel\n\n\n\n\nDec 29, 2023\n\n\nUtility\n\n\nAgastya Patel\n\n\n\n\nundefined\n\n\nundefined\n\n\n\n\n\n\n\n\n\nNo matching items"
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     "text": "Fine Tune Process\nWhen you use the fine_tune method, fastai will use these tricks for you. There are a few parameters you can set (which we’ll discuss later), but in the default form shown here, it does two steps:\n\nUse one epoch to fit just those parts of the model necessary to get the new random head to work correctly with your dataset.\nUse the number of epochs requested when calling the method to fit the entire model, updating the weights of the later layers (especially the head) faster than the earlier layers (which, as we’ll see, generally don’t require many changes from the pretrained weights).\n\nThe head of a model is the part that is newly added to be specific to the new dataset. An epoch is one complete pass through the dataset. After calling fit, the results after each epoch are printed, showing the epoch number, the training and validation set losses (the “measure of performance” used for training the model), and any metrics you’ve requested (error rate, in this case).\n\nGo over Jargon recap in fastbook lesson 1\n\nReduce batch size if you are hitting cuda out of memry"
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-    "text": "Here’s my current journey of Fast AI learning. I’ll be keeping tab of the projects and the current status of journey here!.\nMy FastAI/Course Journey: Repository\nThread/Progress: I have created issues for each project so that I can keep the tabs on changes which are being made for the project. It has been tagged has label Model-Training-Progrss on github repository.\n\nSelf - ProjectsLessonLive Coding:\n\n\n\n\n\nProjects\nLink\nDescription\nLesson Relation\n\n\n\n\nPokemon Classifier\nThread, HF-Spaces\nCreated pokemon classifier, compared the performance of few models, by looking into their history; finding good learning rate and understanding it’s usage.\n1,2\n\n\n\n\n\n\n✅ Done\n🌀 Current Sprint\n💤 Pending\n\n\n\n\nLesson\nWatched\nRead\nQuestionnaire\nRe-Implementation\n\n\n\n\n\n1\n✅\nCh 01✅\n✅\n✅\n✅\n\n\n2\n✅\nCh 02✅\n🌀\n✅\n✅\n\n\n3\n✅\nCh 04✅\n\n\n\n\n\n4\n\n\n\n\n\n\n\n5\n\n\n\n\n\n\n\n\n\n\nCompleted : 1,2,3,6,7\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nTitle\n\n\nDescription\n\n\nDate\n\n\n\n\n\n\n\n\nNo matching items"
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-    "text": "Hi, I’m Agastya. Welcome to my second brain which I share over internet.\nI’m currently working as Technical Artist and Developer. My responsibility involves developing custom in house solutions also whilst leveraging power of open source models for the creative team. I’m currently working on shot tracking product with the cloud team.\nMy interst in deep learning has been growing over me since I started using open source models which have lead into learning about it. I believe in constant learning and hence this is a good platform for sharing what I’m currently working/learning about.\nTech Stack\n- Python, Javascript, C++, SQL, HTML -\n- Framework/libs FastAI, PyQT, Flask, DCC Based APIs -\n- DCC: Blender, Unreal, Houdini, Maya -"
+    "text": "Arrays/Tensor\nBroadcasting (Understand it better)\nSGD\nLoss function\nRole of mini batches\ndescribe the math that a basic neural network is actually doing\n\nRectified linear Unit : y = mx + b ## Calculating Loss ### What are derivatives? Derivatives define the rate of change for the particular function at that particular point of parameter. &gt; In machine learning key is to know how to change the parameter (weights) of a function to reduce the loss. We can use derivatives as it gives us the understanding of change which would take place on altering weights. Calculus provides derivatives which can help us create gradients of the function\n\n\nOur function has large number of weights. We calculate the derivative for one weight while we consider rest as constant and repeat the same process.\n &gt; in deep learning, “gradients” usually means the value of a function’s derivative at a particular argument value whereas in math the derivative gives us another function(rate)\npytorch provides requires_grad_() which tags the variable and keeps track to calculate derivative when passed in a function\ndef f(x): return x**2\n\nxt = tensor(3.).requires_grad_()\n\n## Calculating function with the value \nyt = f(xt)\nyt\n&gt;&gt;tensor(9., grad_fn=&lt;PowBackward0&gt;)\n\n## Asking pytorch to calculate gradient for us\nyt.backwards()\n# The \"backward\" here refers to _backpropagation_, which is the name given to the process of calculating the derivative of each layer.\n\nxt.grad\n&gt;&gt; tensor(6.)\nderivative of f(x) = x^2 is 2*x We found the same value with the xt.grad (gradient)\n\nThe gradients only tell us the slope of our function, they don’t actually tell us exactly how far to adjust the parameters. But it gives us some idea of how far; if the slope is very large, then that may suggest that we have more adjustments to do, whereas if the slope is very small, that may suggest that we are close to the optimal value.\n\nThe key difference is that the metric is to drive human understanding and the loss is to drive automated learning. To drive automated learning, the loss must be a function that has a meaningful derivative. It can’t have big flat sections and large jumps, but instead must be reasonably smooth. This is why we designed a loss function that would respond to small changes in confidence level. This requirement means that sometimes it does not really reflect exactly what we are trying to achieve, but is rather a compromise between our real goal and a function that can be optimized using its gradient. The loss function is calculated for each item in our dataset, and then at the end of an epoch the loss values are all averaged and the overall mean is reported for the epoch. Metrics, on the other hand, are the numbers that we really care about. These are the values that are printed at the end of each epoch that tell us how our model is really doing. It is important that we learn to focus on these metrics, rather than the loss, when judging the performance of a model."
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-    "text": "FastAI Journey\n\n\n\n\n\n\n\nDeepLearning\n\n\nFastAI\n\n\n\n\n\n\n\n\n\n\n\nDec 27, 2023\n\n\nAgastya Patel\n\n\n\n\n\n\nNo matching items"
+    "text": "Arrays/Tensor\nBroadcasting (Understand it better)\nSGD\nLoss function\nRole of mini batches\ndescribe the math that a basic neural network is actually doing\n\nRectified linear Unit : y = mx + b ## Calculating Loss ### What are derivatives? Derivatives define the rate of change for the particular function at that particular point of parameter. &gt; In machine learning key is to know how to change the parameter (weights) of a function to reduce the loss. We can use derivatives as it gives us the understanding of change which would take place on altering weights. Calculus provides derivatives which can help us create gradients of the function\n\n\nOur function has large number of weights. We calculate the derivative for one weight while we consider rest as constant and repeat the same process.\n &gt; in deep learning, “gradients” usually means the value of a function’s derivative at a particular argument value whereas in math the derivative gives us another function(rate)\npytorch provides requires_grad_() which tags the variable and keeps track to calculate derivative when passed in a function\ndef f(x): return x**2\n\nxt = tensor(3.).requires_grad_()\n\n## Calculating function with the value \nyt = f(xt)\nyt\n&gt;&gt;tensor(9., grad_fn=&lt;PowBackward0&gt;)\n\n## Asking pytorch to calculate gradient for us\nyt.backwards()\n# The \"backward\" here refers to _backpropagation_, which is the name given to the process of calculating the derivative of each layer.\n\nxt.grad\n&gt;&gt; tensor(6.)\nderivative of f(x) = x^2 is 2*x We found the same value with the xt.grad (gradient)\n\nThe gradients only tell us the slope of our function, they don’t actually tell us exactly how far to adjust the parameters. But it gives us some idea of how far; if the slope is very large, then that may suggest that we have more adjustments to do, whereas if the slope is very small, that may suggest that we are close to the optimal value.\n\nThe key difference is that the metric is to drive human understanding and the loss is to drive automated learning. To drive automated learning, the loss must be a function that has a meaningful derivative. It can’t have big flat sections and large jumps, but instead must be reasonably smooth. This is why we designed a loss function that would respond to small changes in confidence level. This requirement means that sometimes it does not really reflect exactly what we are trying to achieve, but is rather a compromise between our real goal and a function that can be optimized using its gradient. The loss function is calculated for each item in our dataset, and then at the end of an epoch the loss values are all averaged and the overall mean is reported for the epoch. Metrics, on the other hand, are the numbers that we really care about. These are the values that are printed at the end of each epoch that tell us how our model is really doing. It is important that we learn to focus on these metrics, rather than the loss, when judging the performance of a model."
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-    "text": "DataLoaders - Dataloaders is a container which contains the data (train and validation) we want to use to for our machine learning model; it organises the data. - DataLoaders class is the class that passes the data to the fastai model. It is essentially a class that required Dataloader objects (usually for train and validation subset)\nitem_tfms: Our images are all different sizes, and this is a problem for deep learning: we don’t feed the model one image at a time but several of them (what we call a mini-batch). To group them in a big array (usually called a tensor) that is going to go through our model, they all need to be of the same size. So, we need to add a transform which will resize these images to the same size. Item transforms are pieces of code that run on each individual item, whether it be an image, category, or so forth. fastai includes many predefined transforms; we use the Resize transform here:\nDataBlock: This command has given us a DataBlock object. This is like a template for creating a DataLoaders. We still need to tell fastai the actual source of our data—in this case, the path where the images can be found\nA DataLoaders includes validation and training DataLoaders. DataLoader is a class that provides batches of a few items at a time to the GPU. We’ll be learning a lot more about this class in the next chapter. When you loop through a DataLoader fastai will give you 64 (by default) items at a time, all stacked up into a single tensor. We can take a look at a few of those items by calling the show_batch method on a DataLoader: dls.valid.show_batch(max_n=4, nrows=1) dls is a dataloaders dls.valid and dls.train is dataloader"
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+    "text": "Loss vs Metric\n\n\n\n\n\n\n\n\nAspect\nMetric\nLoss\n\n\n\n\nPurpose Difference\nDrives human understanding of performance\nDrives automated learning by optimization\n\n\nSmoothness Requirement\nNot constrained by smoothness\nRequires smoothness for meaningful derivative\n\n\nOptimization vs. Real Goal\nReflects actual goals\nCompromise between real goals and optimization\n\n\nCalculation Process\nProvides overall model evaluation\nCalculated per item, averaged at epoch end\n\n\nFocus Consideration\nPrimary focus for judging performance\nImportant for automated learning, may not directly represent end goal"
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-    "text": "Cropping\n\nResize(size): crops the image to fit a square of the size requested, using the full width or height.\nResizeMethod.Squish: can result in loosing of some detail as images gets squished or stretched.\nResizeMethod.Pad, pad_mode=‘zero’: Fits the image in square with black padding. These approaches are unoptimized and result in lower accurate models. We can train our model on random parts of image during each training round (EPOCH), making it adaptable to different features, similar to how photos can have different perspective. It helps the model to generalize the feature and learn the basic concept of object\nRandomResizedCrop(size, min_scale=0.3): Creates random zoom images during epoch in vram dls.train.show_batch(max_n=4, nrows=1, unique=True) We used unique=True to have the same image repeated with different versions of this RandomResizedCrop transform. This is a specific example of a more general technique, called data augmentation."
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+    "text": "Why Batches?\nAfter loss function calculation; When should the system update weights? if loss is calculated for one item it would not be much informational as it would result in imprecise and unstable gradient if loss is calculated for entire dataset it would take very long ### Mini Batch So, we count the average loss for few data items at a time (Mini Batch) BatchSize = Number of items\n\n\n\n\n\n\n\n\n\nBatch Size\nQuality\nTime\nSize\n\n\n\n\nLarger\nmore accurate and stable estimate of your dataset’s gradients from the loss function\nlonger time to process\n will process fewer mini-batches per epoch\n\n\n\n\nNOTE: We can’t use large batch size due to limitation of GPU memory\n\n\nRandomization with mini batches\nRather than simply enumerating our dataset in order for every epoch, instead what we normally do is randomly shuffle it on every epoch, before we create mini-batches. PyTorch and fastai provide a class that will do the shuffling and mini-batch collation for you, called DataLoader.\nds = L(enumerate(string.ascii_lowercase))\nds\n&gt;&gt; (#26) [(0, 'a'),(1, 'b'),(2, 'c'),(3, 'd'),(4, 'e'),(5, 'f'),(6, 'g'),(7, 'h'),(8, 'i'),(9, 'j')...]\n\ndl = DataLoader(ds, batch_size=6, shuffle=True)\nlist(dl)\n&gt;&gt; [(tensor([17, 18, 10, 22,  8, 14]), ('r', 's', 'k', 'w', 'i', 'o')),\n (tensor([20, 15,  9, 13, 21, 12]), ('u', 'p', 'j', 'n', 'v', 'm')),\n (tensor([ 7, 25,  6,  5, 11, 23]), ('h', 'z', 'g', 'f', 'l', 'x')),\n (tensor([ 1,  3,  0, 24, 19, 16]), ('b', 'd', 'a', 'y', 't', 'q')),\n (tensor([2, 4]), ('c', 'e'))]\n\n\n\n\n\n\n\nTerm\nMeaning\n\n\n\n\nReLU\nFunction that returns 0 for negative numbers and doesn’t change positive numbers.\n\n\nMini-batch\nA small group of inputs and labels gathered together in two arrays. A gradient descent step is updated on this batch (rather than a whole epoch).\n\n\nForward pass\nApplying the model to some input and computing the predictions.\n\n\nLoss\nA value that represents how well (or badly) our model is doing.\n\n\nGradient\nThe derivative of the loss with respect to some parameter of the model.\n\n\nBackward pass\nComputing the gradients of the loss with respect to all model parameters.\n\n\nGradient descent\nTaking a step in the directions opposite to the gradients to make the model parameters a little bit better.\n\n\nLearning rate\nThe size of the step we take when applying SGD to update the parameters of the model."
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-    "text": "Data Augmentation\nWith resize our images are now all the same size, we can apply these augmentations to an entire batch of them using the GPU, which will save a lot of time."
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+    "text": "Page contains some of the common and usefull snippets. Pathlib, parallel processing."
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-    "text": "We’ll be taking a look at package managers like conda, mamba; peek on some important tools like bash, tmux etc."
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+    "text": "Path\nfrom pathlib import path\npath = Path() #Current Dir\n#path = Path('Content') #Relative Dir\n#path = Path('NB/content') #Absolute Dir"
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-    "section": "Setting up Windows Subsystem",
-    "text": "Setting up Windows Subsystem\n\nSet wsl\nget the miniforge/mambaforge(deprected)\nrun the miniforge.sh\nmamba install ipython\nmamba install jupyter lab\nmamba install pytorch\nconda install fastai"
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+    "text": "Add recent models\n!pip install timm\nimport timm\ntimm.list_models('convnext*) # Prints available model"
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-    "text": "nvidia-smi\nnvidia-smi dmon: Chec for sm and mem column ## Jupter %%debug : Used for non-graphical debugging from pdb import set_trace : set_trace() sets a breakpoint and automatically enables debugger mode ## Symblinks ### Linux ln -s target-path : Creates a symblink of the target directory in current directory ln -la : Displays the folders who are made up of symblink\n\nWindows\nYoutube Tutorial"
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+    "text": "Fine_Tune:\nFine Tune Freezes the weights of all layers except the last layers. Calls fit on the last layer Decreases the learning rate Unfreezes the model Fit for number of epoch specified\n\nhalf precision floating points (less precise but fast) supported on latest gpus .to_fp16() (method for learnerer)\n\n\n[!info] Learning rate and lr_find() : Is used to find good learning rate"
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-    "text": "Cloud Environments\n\nPaperspace\nQ. How to set common library? 1. pip install --user with this flag so that the lib is installed in .local 2. move the .local to /storage/.local 3. create symblink from /storage/.local as target and it would create .bash.local in storage which would fire up time new instance has been called"
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+    "text": "Title\n\n\nDescription\n\n\n\n\n\n\nFastAI Notes\n\n\n\n\n\n\n\nInternet\n\n\n\n\n\n\n\nMatplotlib\n\n\n\n\n\n\n\nPyTorch Reference\n\n\n\n\n\n\n\nUtility\n\n\n\n\n\n\n\n\n\nNo matching items"
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-    "text": "FastAI chapter notes summarised and good overview\n\n\n\n\n\n\n\n\n\n\nTitle\n\n\nDescription\n\n\nDate\n\n\n\n\n\n\nFastAI Lecture 01\n\n\n\n\n\nDec 31, 2023\n\n\n\n\nFastAI Lecture 02\n\n\n\n\n\nJan 11, 2024\n\n\n\n\nFastAI Lecture 03\n\n\n\n\n\nJan 13, 2024\n\n\n\n\nFastAI Setup; Understanding Tools\n\n\n\n\n\nDec 29, 2023\n\n\n\n\nFastAI Snippets 01\n\n\n\n\n\nDec 31, 2023\n\n\n\n\n\n\nNo matching items"
+    "text": "Global network of billions of electronic devices which acts as servers or clients.\nServers are machines which provide services to other machines.\nClients are machines used to connect to those services.\n\nQ. How do we distinguish each machines? Q. How do we transmit data\n\n\n\n\n\n\n\nWAN (Wide Area Network):\nLAN (Local Area Network)\n\n\n\n\nGroup of computers that span large geographic area.\nGroup of computers connected in limited geographic area.\n\n\nEg: Internet\nEg. Home Network, School Network\n\n\n\n\n\n\nAn IP address is a unique address that is used to identify computers or nodes on the internet.\nAddresses are in this form: #.#.#.#\n\n\n[!info] Your router is the only device on the internet with this public IP Address - Inside your home, your devices have most likely received a local IP Address from router. - This local IP Address is unique on your network however, there might be other devices with same IP Address on other networks (LANs)\n\n\nIPv4: Numbers range from 0 to 255. IP addresses are 32-bits, meaning that these addresses could accommodate over 4 billion addresses.\nIPv6: Newer versions of IP addresses can accommodate far more computers! IPv6 #### What is Subnet mask? 255.255.255.0 Here 255 means that IP address amongst the devices in LAN are common where as 0 means unique to devices. #### What is Default Gateway? It is the Local IP Address for the router/modem that you are connected to.\n\ngraph TB\n  A[\"Your friend. In another house! 192.168.1.5\"] --&gt; B[[\"Router 192.168.1.1 (Local IP)\\n Router 77.45.82.17 (PUBLIC IP)\"]]\n  K[\"Your friend... In another house! 192.168.1.4\"] --&gt; B \n  B &lt;--&gt; D[\"The Internet\"]\n  D &lt;--&gt; E[[\"Router 77..45..19..6 (PUBLIC IP)\\nRouter 192..168..1..1 (LOCAL IP)\"]]\n  E --&gt; G[\"Computer 1 192.168.1.4\\n Our machine running our server on port 12345!\"]\n  E --&gt; I[\"Computer 2 192.168.1.7\"]\n  E --&gt; J[\"Computer 3 192.168.14\"]\n  E --&gt; L[\"Computer S 192.168.4.1\"]\n  E --&gt; M[\"Computer A 192.168.2.1\"]\n\n\n\nPort Address is the address that a specific application or service runs on the given computer. Port addresses can range from 0 to 65535. Some of them might be reserved for well know protocols and services. #### Common Ports and Services Port 21 - FTP File Transfer Protocol Port 22 - SSH Secure Shell Port 25 - SMTP Simple Mail Transfer Protocol Port 80 - HTTP Hyper Text Transfer Protocol Port 443 - HTTPS Hyper Text Transfer Protocol Secure\n\nnetstat -na gives entire list of open ports on Windows\n\n\n[!Warning] Port Address conflicts [todo]\n\n\n\n\n\n\n\n\nTCP is a connection based protocol.\nConnection must be made before any data is sent.\nUsed to establish a reliable, error free connection. It ensures all data was sent is received and it keeps all sent packets organized.\nFor Example HTTP and HTTPS service is based on TCP Protocol\n\n\n\n\n\nUDP is a connectionless protocol.\nNo connection has to be made before sending data\nUDP tends to be faster but you may not receive the data in order and you could have missing data."
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-    "text": "import matplotlib.pyplot as plt\n\nplt.figure(figsize = (10,6)) //Aspect ratio of the plot\nplt.suptitle('Super Title)\nplt.set_tile('Title', loc='left)\nplt.xlabel('X Label')\nplt.ylabel('Y Label')\n\n# Create scatter points\nplt.scatter(y_test, predictions, label='Predictions', alpha=0.5, color='blue')\n# Plot a line\nplt.plot([min(y_test), max(y_test)], [min(y_test), max(y_test)], linestyle='--', color='gray', linewidth=2, label=\"Actual Observations\")\n\nplt.legend()  # Places legend on the plot\nplt.show()"
+    "text": "An IP address is a unique address that is used to identify computers or nodes on the internet.\nAddresses are in this form: #.#.#.#\n\n\n[!info] Your router is the only device on the internet with this public IP Address - Inside your home, your devices have most likely received a local IP Address from router. - This local IP Address is unique on your network however, there might be other devices with same IP Address on other networks (LANs)\n\n\nIPv4: Numbers range from 0 to 255. IP addresses are 32-bits, meaning that these addresses could accommodate over 4 billion addresses.\nIPv6: Newer versions of IP addresses can accommodate far more computers! IPv6 #### What is Subnet mask? 255.255.255.0 Here 255 means that IP address amongst the devices in LAN are common where as 0 means unique to devices. #### What is Default Gateway? It is the Local IP Address for the router/modem that you are connected to.\n\ngraph TB\n  A[\"Your friend. In another house! 192.168.1.5\"] --&gt; B[[\"Router 192.168.1.1 (Local IP)\\n Router 77.45.82.17 (PUBLIC IP)\"]]\n  K[\"Your friend... In another house! 192.168.1.4\"] --&gt; B \n  B &lt;--&gt; D[\"The Internet\"]\n  D &lt;--&gt; E[[\"Router 77..45..19..6 (PUBLIC IP)\\nRouter 192..168..1..1 (LOCAL IP)\"]]\n  E --&gt; G[\"Computer 1 192.168.1.4\\n Our machine running our server on port 12345!\"]\n  E --&gt; I[\"Computer 2 192.168.1.7\"]\n  E --&gt; J[\"Computer 3 192.168.14\"]\n  E --&gt; L[\"Computer S 192.168.4.1\"]\n  E --&gt; M[\"Computer A 192.168.2.1\"]\n\n\n\nPort Address is the address that a specific application or service runs on the given computer. Port addresses can range from 0 to 65535. Some of them might be reserved for well know protocols and services. #### Common Ports and Services Port 21 - FTP File Transfer Protocol Port 22 - SSH Secure Shell Port 25 - SMTP Simple Mail Transfer Protocol Port 80 - HTTP Hyper Text Transfer Protocol Port 443 - HTTPS Hyper Text Transfer Protocol Secure\n\nnetstat -na gives entire list of open ports on Windows\n\n\n[!Warning] Port Address conflicts [todo]"
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-    "text": "Creating tensor: tns = torch.tensor(2500, dtype = torch.int) ## torch.float is another dtype BaseClass for all neural networks : nn.Module nn.Linear and nn.Sequential are objects/derived class of nn.Module class/Parent Class.\nnn.Linear(2,3)  // Initializes with random paramters\n\n# Building sequential network\nmodel = nn.Sequential(  \n    nn.Linear(2,3),  \n    nn.ReLU(),  \n    nn.Linear(3,1))\nmodel(input)   //FeedForward\n\n# buildinv custom network\nclass NN_Regression(nn.Module):\n    super(NN_regression, self).__init():\n    #initialize components\n        self.layer1 = nn.Linear(3,6)\n        self.layer2 = nn.Linear(4,1)\n        self.relu = nn.ReLU()\n    def forward(self, x):\n        x = self.layer1(x)\n        x = self.relu(x)\n        x = self.layer2(x)\n        return x\n        \noptimizer = optim.Adam(model.parameters(), lr=0.01)\nloss = nn.MSELoss()\n\nMSE = loss(model(input), y)\nMSE.backward()   #Backward propogation or gradient calculation\noptimizer.step() #Stepping\noptimizer.zero_grad()  #reset the gradients\n\n# Model Evaluation\nmodel.eval()\nwith torch.no_grad():\n    test_MSE = loss(model(X_test), y_test)\ntorch.save(model, 'model.pth')\ntorch.load('model.pth')\nTo split dataset into validation and testing; use sklearn.model_selection.train_test_split"
+    "text": "TCP is a connection based protocol.\nConnection must be made before any data is sent.\nUsed to establish a reliable, error free connection. It ensures all data was sent is received and it keeps all sent packets organized.\nFor Example HTTP and HTTPS service is based on TCP Protocol\n\n\n\n\n\nUDP is a connectionless protocol.\nNo connection has to be made before sending data\nUDP tends to be faster but you may not receive the data in order and you could have missing data."
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-    "text": "PyTorch references and functions\n\nNon Linear Functions\n\n\n\nName\nFunctions\nNotes\n\n\n\n\nReLU\nnn.ReLU()\n\n\n\nSigmoid\nnn.Sigmoid()\n\n\n\n\n\n\nLoss Functions\n\n\n\n\n\n\n\n\nName\nFunctions\nNotes\n\n\n\n\nAbsolute Mean Error or L1 norm\ntorch.nn.functional.l1_loss(a,b)\n\n\n\nRoot Mean Square Error or L2 norm\ntorch.nn.functional.mse_loss(a,b)\n\n\n\n\n\n\nOptimizers\n\n\n\nName\nFunctions\nNotes\n\n\n\n\nSGD\ntorch.optim.SGD(model_paramets, lr)\n\n\n\nAdam\ntorch.optim.ADAM(model_paramets, lr)\n\n\n\n\n\n\nLinear Regressions\n\n\n\n\n\n\n\n\nName\nFunctions\nNotes\n\n\n\n\nLinear Regression\nnn.Linear(n_weights/n_inputs, n_bias/n_outputs)\nwx + b"
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-    "text": "pip install kaggle\nSetup the JSON: User have to set their email and key in this json file. Linux: ~/.kaggle/kaggle.json Windows: C:&lt;Windows-username&gt;.kaggle.json ### Create New Notebook in Local Initialize : kaggle kernels init -p /path/to/folder In your nb folder a metadata file will be generated Set title and id; prefer to keep them same and just strip spaces, caps and symbols in id; Add your nb name and any dataset used. &gt; More on metadata key values: https://github.com/Kaggle/kaggle-api/wiki/Kernel-Metadata\n\nPush Command kaggle kernels push -p /path/to/folder (remove path flag if in cwd is dir with nb) ### Accessing Dataset\nkaggle datasets list -s [KEYWORD]      //Search\nkaggle datasets download -d [DATASET]  //download\n\n\n\nInitialize: kaggle datasets init -p /path/to/dataset Add metadata in datapackage.json Push: kaggle datasets create -p /path/to/dataset"
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+    "text": "In Depth Working GET Request\n\nURL Requested\nBrowser extracts the protocol http or https and uses the specified.\nIdentifies the domain name from the URL and queries the Internet Domain Name Server (DNS/Domain Name System) to return Internet Protocol Address.\nBrowser, the client opens the opens a connection using the http protocol to the server at the IP Address resolved above.\nClient initiates a GET Request\n\n-- CLIENT GET REQUEST --\nGET / HTTP/1.1\nHost: www.codecademy.com"
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-    "text": "pip install kaggle\nSetup the JSON: User have to set their email and key in this json file. Linux: ~/.kaggle/kaggle.json Windows: C:&lt;Windows-username&gt;.kaggle.json ### Create New Notebook in Local Initialize : kaggle kernels init -p /path/to/folder In your nb folder a metadata file will be generated Set title and id; prefer to keep them same and just strip spaces, caps and symbols in id; Add your nb name and any dataset used. &gt; More on metadata key values: https://github.com/Kaggle/kaggle-api/wiki/Kernel-Metadata\n\nPush Command kaggle kernels push -p /path/to/folder (remove path flag if in cwd is dir with nb) ### Accessing Dataset\nkaggle datasets list -s [KEYWORD]      //Search\nkaggle datasets download -d [DATASET]  //download\n\n\n\nInitialize: kaggle datasets init -p /path/to/dataset Add metadata in datapackage.json Push: kaggle datasets create -p /path/to/dataset"
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+    "section": "HTTP vs REST (related but distinct concepts)",
+    "text": "HTTP vs REST (related but distinct concepts)\nHTTP (Hypertext Transfer Protocol): - HTTP is the foundation of any data exchange on the Web. - It’s a protocol used for transferring hypertext (text that includes links to other texts, like web pages) over the internet. - It defines how messages are formatted and transmitted and what actions web servers and browsers should take in response to various commands. - In simpler terms, it’s the set of rules that allows your web browser to request a webpage from a server, and the server to send that webpage back to your browser as response.\nREST (Representational State Transfer): #Guidelines https://www.codecademy.com/article/what-is-rest - REST is an architectural style, a set of principles that are often applied when building web services. - It’s not a protocol like HTTP; instead, it’s a set of guidelines for creating scalable and stateless web services. - RESTful services use standard HTTP methods (like GET, POST, PUT, DELETE) for operations on resources (like data entities), and they represent these resources as URIs (Uniform Resource Identifiers). - RESTful services typically use JSON or XML for data exchange. - In simpler terms, REST is an approach to designing networked applications in a way that is scalable, stateless, and relies on standard HTTP methods.\n\n[!Info] Stateless Web Service: Each request from client is independent & carries all information. So, the server doesn’t store the client’s state between requests and treats each requests as isolated transaction."
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+    "text": "This folder contains all the small utility snippets which you’d be using in daily operations.\n\n\n\n\n\n\n\n\n\n\nTitle\n\n\nDescription\n\n\nDate\n\n\n\n\n\n\nKaggle\n\n\n\n\n\nJan 20, 2024\n\n\n\n\n\n\nNo matching items"
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+    "text": "FastAI Projects\nThese are the projects that I did during my FastAI journey. Only including the self-implemented notebooks/deployments/projects.\n\n\n\nProjects\nLink\nDescription\nLesson Relation\n\n\n\n\nPokemon Classifier\nThread, HF-Spaces\nCreated pokemon classifier, compared the performance of few models, by looking into their history; finding good learning rate and understanding it’s usage.\n1,2\n\n\nMNIST Classifier\n\n\n\n\n\n\n\n\nWeb Projects\nThese are the projects which I created in my web dev learning."
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