Simple tutorials using Google's TensorFlow Framework
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Introduction to deep learning based on Google's TensorFlow framework. These tutorials are direct ports of Newmu's Theano Tutorials.
Topics * Simple Multiplication * Linear Regression * Logistic Regression * Feedforward Neural Network (Multilayer Perceptron) * Deep Feedforward Neural Network (Multilayer Perceptron with 2 Hidden Layers O.o) * Convolutional Neural Network * Denoising Autoencoder * Recurrent Neural Network (LSTM) * Word2vec * TensorBoard * Save and restore net * Generative Adversarial Network
Dependencies * TensorFlow 1.0 alpha * Numpy * matplotlib