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Tutorials-Homework-Notebooks

This repository keeps the tutorial notebooks which you will be using for your HW. The notebooks will largely be run on Google COLAB.

  • Original Author: Bhargav Srinviasa Desikan

  • Editors and Reviewers: James Evans, Likun Cao, Partha Kadambi

Week 1 - Deep Learning?

Week 2 - Deep Architectures, Training & Taming

Week 3 - From Diverse Data to Similar Signals & Sampling

Week 4 - Strategic Sampling & Active Learning

Week 5 - Text Learning

Week 6 - Network & Table Learning

Week 7 - Sound & Image Learning

Week 8 - Reinforcement Learning

Week 9 - Digital Doubles & You in the Loop

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This repository keeps the tutorial notebooks for the course.

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  • Jupyter Notebook 100.0%