TensorFlow-Tutorials
January 27, 2017 ยท View on GitHub
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