Schedule

* = optional reading

Date	Topic	Readings / Videos	Assignments
11 Oct		* Deep Learning Book - Part I: Applied Math and Machine Learning Basics
18 Oct	MLPs, Gradient Descent & Backpropagation	Deep Learning Book - Chapter 6: Deep Feedforward Networks	First Steps
25 Oct	CNNs	Deep Learning Book - Chapter 9: Convolutional Networks, Sections 9.1 to 9.5	tf.data & Tensorboard
01 Nov	CNNs (cont.)	Deep Learning Book - Chapter 9: Convolutional Networks, remaining sections Reading Assignment	Basic CNNs & Keras
08 Nov	RNNs	Deep Learning Book - Chapter 10: Sequence Modeling: Recurrent and Recursive Nets, Sections 10.1 to 10.5	DenseNet
15 Nov	RNNs (cont.)	Deep Learning Book - Chapter 10: Sequence Modeling: Recurrent and Recursive Nets, Sections 10.6, 10.7 and 10.10 to 10.12 Sequence Modeling With CTC	Sentiment Classifcation Part 1
22 Nov	Attention and Memory	Reading Assignment	Sentiment Classification Part 2
29 Nov	Word Embeddings & Language Models	Reading Assignment	Attention-based NMT
06 Dec	Autoencoders & Self-Supervised Representation Learning	Reading Assignment	Word2Vec
13 Dec	Regularization & Optimization	Deep Learning Book - Chapter 7: Regularization Deep Learning Book - Chapter 8: Optimization (except Section 8.6) * Regularization for Deep Learning: A Taxonomy	Self-supervised Learning
20 Dec	Practical Methodology	Deep Learning Book - Chapter 11: Practical Methodology Practical Methodology Talk by Ian Goodfellow Andrew Ng: Machine Learning Yearning	Adversarial Examples
10 Jan	Introspection	Reading Assignment	Practical Methodology
17 Jan	Graph Neural Networks	Reading Assignment	Introspection Part 1
24 Jan	TBD	TBD	Introspection Part 2