Summer 2018
We are studying Deep Learning by Ian Goodfellow and Yoshua Bengio and Aaron Courville. Meetings are Thursdays, 10am (for up to 90 minutes) in Rice 536 (except for June 14 when we will meet in Rice 242).
| Date | Topic | Leaders | Exercises, Notes |
| 7 June | Planning, Background (Chs 1-4) | Dave | |
| 14 June (Rice 242) | 5: Machine Learning Basics | Xiao, Suya | Exercises [Solutions], Notes |
| 21 June | 6: Deep Feedforward Networks | Bargav, Jonas | Notes |
| 28 June | 7 (through ~7.7): Regularization for Deep Learning | Samin, Jack | |
| 5 July | No meeting | ||
| 12 July | 7.8-8: More Regularization, Optimization | Nathaniel, Bargav | Practice Code |
| 19 July | 9: Convolutional Networks | Jonas, Xiao | |
| 26 July | 10: Sequence Modeling (RNNs) | Jack, Suya | |
| 2 August | 14: Autoencoders | Samin, Matt | [Notes] (Matt) |
| 9 August | Reinforcement Learning | Samin | |
Caltech ML Course - Yaser Abu-Mostafa's course (includes video lectures, as well as assignments)