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