| |
Introduction |
|
| Wed Aug 30 |
Welcome |
|
| Mon Sep 04 |
No Class |
|
| Wed Sep 06 |
Background Review I |
|
| Mon Sep 11 |
Background Review II |
Assignment 1 Out |
| |
Deep Networks |
|
| Wed Sep 13 |
Feed Forward Networks |
|
| Mon Sep 18 |
Feed Forward Networks: Learning |
|
| Wed Sep 20 |
Backpropagation |
|
| Mon Sep 25 |
Optimization |
Assignment 1 Due, Assignment 2 Out |
| |
Supervised Learning |
|
| Wed Sep 27 |
Convolutional Neural Networks |
|
| Mon Oct 02 |
Efficient Convolution |
|
| Wed Oct 04 |
Sequences: RNNs and LSTMs |
|
| Mon Oct 09 |
Deep Learning Frameworks |
|
| Wed Oct 11 |
Practical Tricks for Training - I |
Assignment 2 Due, Assignment 3 Out |
| Mon Oct 16 |
Practical Tricks for Training - II |
|
| Wed Oct 18 |
Mid-Term Review |
|
| Mon Oct 23 |
No-class |
|
| Wed Oct 25 |
No-class |
|
| Mon Oct 30 |
Mid-Term Exam |
Assignment 3 Due |
| Wed Nov 01 |
Mid-Term Exam Review |
|
| Mon Nov 06 |
Applications |
Assignment 4 Out |
| Wed Nov 08 |
Applications |
|
| |
Unsupervised Learning |
|
| Mon Nov 13 |
Autoencoders |
|
| Wed Nov 15 |
Deep Generative Models - I |
|
| Mon Nov 20 |
Deep Generative Models - II |
Assignment 4 Due |
| Wed Nov 22 |
Deep Generative Models - II |
Assignment 5 Out |
| Mon Nov 27 |
Applications of Deep Generative Models |
|
| |
Assorted Topics |
|
| Wed Nov 29 |
Max-Margin Learning and Siamese Networks |
|
| Mon Dec 04 |
Deep Reinforcement Learning - I |
|
| Wed Dec 06 |
Deep Reinforcement Learning - II |
Assignment 5 Due |
| Mon Dec 11 |
Project Presentations |
Assignment 4 Due |
| Wed Dec 13 |
Project Presentations |
|
