Event Type  Date  Description  Course Materials 

Lecture 
Jan 10  Introduction to deep learning I

[slides] 
Lecture 
Jan 12  Introduction to deep learning II 
[deep learning]

Lecture 
Jan 17  Machine learning basics I

[slides] 
Lecture 
Jan 19  Machine learning basics II 
[notes on machine learning] 
Lecture 
Jan 24  Machine learning basics III 
[chapter of machine learning] 
Lectue 
Jan 26 
Class cancelled; makeup will be announced later 
Neural Nets notes 1 Neural Nets notes 2 Neural Nets notes 3 tips/tricks: [1], [2], [3] (optional) 
Feb 2  Lunar New Year Vacation; no class  
Lecture 
Feb 7 
Multilayer neural network I

[slides] 
Lecture 
Feb 9 
Multilayer neural network II

[notes on backpropagation] 
Lecture 
Feb 11 
Convolutional neural networks (CNN) I Makeup class for Jan 26 
[slides]
time: 10:30  12:15 venue: ERB 407 (next to Ho Sin Hang Engineering Bldg.) 
Lecture 
Feb 14 
Convolutional neural networks (CNN) II 
gradient flow in convolution:
[1]
[2]

Lecture 
Feb 16 
Optimization for Training Deep Models I 
[slides]

Lecture 
Feb 21 
Optimization for Training Deep Models II 
[notes on init and normalization] 
A1  Feb 21 
Assignment #1 Due date 
[assignment #1]
[solution]
TAincharge: Tong Xiao 
Lecture 
Feb 23  Network structures I  [slides] 
Exam 
Feb 28 
Quiz 1 
time: 2:30  3:13 pm venue: YIA LT5 TAincharge: Wei Yang 
Lecture 
Mar 2 
Network structures II 

Lecture 
Mar 7 
Recurrent Neural Networks and LSTM I 
[slides] 
Lecture 
Mar 9  Recurrent Neural Networks and LSTM II 
DL book RNN chapter (optional) mincharrnn, charrnn, neuraltalk2 
Lecture 
Mar 14 
Deep Blief Nets I 
[slides] 
Lecture 
Mar 16 
Deep Blief Nets II 

Lecture 
Mar 21  Generative adversarial network (GAN) I 
[slides] 
A2  Mar 21 
Assignment #2 Due date 
[assignment #2]
[solution]
TAincharge: Hongyang Li 
Lecture 
Mar 23  Generative adversarial network (GAN) II 
[NIPS 2016 GAN workshop]
[Tutorial for starters] 
Milestone  Mar 24  Discussion on final project proposal 

Lecture 
Mar 28 
Autoencoder and Deep reinforcement learning I 
[autoencoder slides]

Lecture 
Mar 30 
Deep reinforcement learning II

[slides] [NIPS 2016 Deep RL workshop] [DeepMind DQN Nature paper] 
Lecture 
Apr 6  Structured deep learning  [slides] 
A3  Apr 6 
Assignment #3 Due date 
[assignment #3]
[solution](updated on Apr 9)
TAincharge: Wei Yang 
Lecture 
Apr 11 
Course sumup 

Apr 13  No class as scheduled  
Exam 
Apr 20 
Quiz 2

time: 14:30  16:15
venue: LSK LT7 
Milestone  May 2 
Poster and presentation session Presentation: TBD. 
[link] 