Ian Goodfellow

adversarial. Code and hyperparameters for the paper "Generative Adversarial Networks"

dlbook_notation. LaTeX files for the Deep Learning book notation

dlbook_exercises. Exercises for the Deep Learning textbook at www.deeplearningbook.org

theano_exercises. Exercises for my tutorials on Theano

galatea. This was my private research codebase during grad school. After graduation I made it all public

forgetting. Repository of code for the experiments for the ICLR submission "An Empirical Investigation of Catastrophic Forgetting in Gradient-Based Networks"

models. Models built with TensorFlow

ccw_tutorial_theano. Common Code Workflow tutorial on Theano

improved-gan. code for the paper "Improved Techniques for Training GANs"

book-figures. The figures for the Deep Learning textbook (www.deeplearningbook.org)

pylearn2. A Machine Learning library based on Theano

Theano. Optimizing GPU-meta-programming code generating array oriented optimizing math compiler in Python

TheanoLinear. Python

cleverhans. A library for benchmarking vulnerability to adversarial examples

momentum. Code for demonstrating the importance of momentum, for a post for Safari Books Online

MNIST. Neural Network with single hidden layer learning MNIST with less than 1.2% test error.

ContestDataset. A Pylearn2 Dataset object for accessing the dataset used for the kaggle competition of IFT 6266 H13

testing.