* = optional reading
Date | Topic | Readings / Videos | Assignments |
---|---|---|---|
26 Oct |
|
||
02 Nov |
MLPs, Gradient Descent & Backpropagation |
First Steps | |
09 Nov |
CNNs |
TensorBoard & tf.data | |
16 Nov |
CNNs (cont.) |
CNNs | |
23 Nov |
RNNs |
DenseNet | |
30 Nov |
RNNs (cont.) |
RNNs | |
07 Dec |
Attention and Memory |
More RNNs | |
14 Dec |
Word Embeddings & Language Models |
Attention-based NMT | |
21 Dec |
Autoencoders & Self-Supervised Representation Learning |
Autoencoders | |
04 Jan |
Regularization & Optimization |
||
11 Jan |
Practical Methodology |
Adversarial Examples | |
18 Jan |
Introspection - Part I |
Practical Methodology | |
25 Jan |
Introspection - Part 2 |
Introspection Part 1 | |
01 Feb |
TBD |
|
Introspection Part 2 |