Schedule


* = 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

  • TBD
Introspection Part 2