Date | Topic | Notice | |
---|---|---|---|
Sep. | 4 | Introduction | |
6 | Deep Feedforward Network (Chapter 6) | ||
11 | Deep Feedforward Network-2 (Chapter 6) | ||
13 | Deep Feedforward Network-3 (Chapter 6) | ||
18 | Linear Factor Model (Chapter 13) | ||
20 | Linear Factor Model-2 (Chapter 13) | ||
25 | Autoencoder (Chapter 14) | ||
27 | Autoencoder-2 (Chapter 14) | ||
Oct. | 2 | Representation Learning (Chapter 15) | |
4 | Representation Learning-2 (Chapter 15) | ||
9 | Representation Learning-3 (Chapter 15) | ||
11 | Structured Probabilistic Models for Deep Learning (Chapter 16) | ||
16 | Structured Probabilistic Models for Deep Learning-2 (Chapter 16) | ||
18 | Structured Probabilistic Models for Deep Learning-3 (Chapter 16) | ||
23,25 | Midterm | ||
30 | Monte Carlo Methods (Chapter 17) | ||
Nov. | 1 | Monte Carlo Methods-2 (Chapter 17) | |
6 | Confronting the Partition Function (Chapter 18) | ||
8 | Confronting the Partition Function-2 (Chapter 18) | ||
13 | Confronting the Partition Function-3 (Chapter 18) | ||
15 | Approximate Inference (Chapter 19) | ||
20 | Approximate Inference-2 (Chapter 19) | ||
22 | Approximate Inference-3 (Chapter 19) | ||
27 | Deep Generative Models (Chapter 20) | ||
29 | Deep Generative Models-2 (Chapter 20) | ||
Dec. | 4 | Deep Generative Models-3 (Chapter 20) | |
6 | Deep Generative Models-4 (Chapter 20) | ||
11, 13 | Final |