⚓ A Simple and Lightweight NeuralNetwork Framework
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Updated
Apr 28, 2017 - Jupyter Notebook
⚓ A Simple and Lightweight NeuralNetwork Framework
Three simple feedforward neural networks.
Trained NN on Fashion-Mnist for FSU machine learning class
Identifying Image Orientation using Supervised Machine Learning Models of k-Nearest Neighbors, Adaboost and Multi-Layer Feed-Forward Neural Network trained using Back-Propagation Learning Algorithm
Q-learning Neural Network learning to steer a car and avoid obstacles. Uses ConvNet library.
Sameer Girolkar's AIML practice Notebooks
The quality of the images is estimated using FFT transformations. The ANN model was built with Keras and tested using C ++ / CUDA.
Understanding Neural Networks
A Neural Network learns how to play the "Flappy Bird" on its own.
Multilayered backpropagation neural network using c++
This is the code for implementing the basic neural network with python
Image Recognition With Neural Networks In Keras
Tensorflow and Python neural network implementations
Self Organizing Map
This is introduction to PyTorch by examples
Project 3 (One Layer)
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