Introduction to and Advances in Deep Learning
Organizers: Z. Tom Hu, Yuting Ye
Please direct questions to {zyhu95, yeyt} AT berkeley DOT edu
This semester (fall 2019), we will be hosting a group study on deep learning at every other Monday 12:30 - 2pm in Evans 443. This is a fast-paced and demanding study group which covers both fundementals of deep learning and recent advances. We request everyone to read the related materials before the group study.
Each presentation will be hosted by two of our group members focusing on the reading materials we have assigned.
Below is the tentative schedule we proposed for fall 2019 semester.
| Date | Content | Speaker | Reference | Note |
|---|---|---|---|---|
| Sep 30 | Feedfarward Neural Networks, Regularization | Shuni, Zoe | Goodfellow Ch6, 7 (7.1 - 7.6) | |
| Oct 14 | Regularization, Convolutional Neural Network (CNN) | Yuting, Calvin | Goodfellow Ch7 (7.7 - 7.14), 9 | Please read Chapter 8 by yourself |
| Oct 28 | Recurrent Neural Network (RNN), Tricks, Applications | Tom, Yun | Goodfellow Ch10, 11, 12 | Chapter 11, 12 will be only briefly covered |
| Nov 18 | Predictability, Computability, Stability, Intepretability | Guest | Stability, Bin Yu, Bernoulli | Please also read email attached papers |
| Nov 25 | Variational Autoencoders, Probablistic Graphical Models | Tom, Yun | Goodfellow Ch14, 16. | Please read Chapter 11 by yourself |
| Dec 2 | Deep Learning Application in Biomedical Research | Shuni, Zoe | Paper sent by Haiyan | |
| Dec 9 | Representation Learning, Sampling Methods | Yuting, Calvin | Goodfellow Ch15, 17 |