Date | Topics / Activity |
Hinton Videos | Readings |
Lecture Notes | Assignments |
Aug 29 |
|
GBC Chapter 1 |
intro1 |
||
Aug 31 |
|
GBC
Chapter 1 optional: Bengio, Learning deep architectures for AI (section 1) Chronicle of Higher Education article on Deep Learning |
intro2 |
homework
1 assigned |
|
Sep 5 |
|
GBC
Chapter 2 |
learning1 |
||
Sep 7 |
|
GBC
Chapter 4 GBC Chapter 6.1-6.4 |
learning2 |
||
Sep 12 |
|
|
representation |
homework 1 due; homework 2
assigned |
|
Sep 14 |
|
|
GBC
Chapter 8.1-8.5 GBC Chapter 5.5 optional: GBC Chapter 8.6-8.7 |
activation_loss practical |
|
Sep 19 |
|
optional: bias-variance trade off |
bias
and variance |
||
Sep 21 |
|
GBC
Chapter 7.{1,2,3,5,8,10,11,12} Optional: Dropout Dropout2 pruning algorithms |
regularization | ||
Sep 26 |
|
GBC
Chapter 9 convolutional net demos optional: |
conv_nets |
||
Sep 28 |
|
GBC Chapter 6.5, 11 |
lecture notes delivered via piazza |
homework 2 due; homework 3 assigned | |
Oct 3,5 |
|
GCB
Chapter 7.{4,9,14} GBC Chapter 15.2-6 |
leveraging
domain knowledge |
||
Oct 10 |
|
|
deep nets |
||
Oct 12,17 |
|
|
GBC
Chapter 10 |
recurrent nets 1 recurrent nets 2 |
homework 3 due (Oct 12); homework 4
assigned |
Oct 19 |
|
GBC Chapter 14 |
unsupervised |
||
Oct 24,26 |
|
Optional: |
language |
assignment 4 due (Oct 26) | |
orphan class |
|
Optional: |
|||
Oct 31, Nov 2 |
|
Hall
lecture |
wootmath optical neural nets climate/weather prediction |
assignment
5 |
|
Nov 7 |
|
Optional:
|
probabilistic_nn |
assignment 5 due Nov 7; assignment 6
handed out |
|
Nov 9 |
CLASS CANCELLED
(Mike traveling) |
||||
Nov 14 |
|
capsule nets |
|||
Nov 16 |
|
memory |
assignment 6 due; assignment 7
handed out |
||
Nov 21, 23 |
FALL BREAK |
||||
Nov 28 |
|
GAN |
|||
Nov 30 |
|
|
captions |
||
Dec 5,7 |
NO CLASS (NIPS) |
||||
Dec 12 |
|
NIPS_highlights |
|||
Dec
14 |
|
|
deep RL |
||
Dec 16, 1:30pm-4:00pm [Final exam slot] |
|
|
Assignment 7 due NO EXTENSIONS GIVEN |