Materials for Deep Learning

This is a list of materials for deep learning, in reverse chronological order. Suggestions and pull requests are welcome.

Courses

1. Topics in Deep Learning by Russ Salakhutdinov at CMU (Fall 2016)
2. Differentiable Inference and Generative Models by David Duvenaud at Toronto University (Fall 2016)
3. Large Scale Machine Learning by Russ Salakhutdinov at Toronto University (Winter 2015)

Datasets

see here