Schedule

* = optional reading

Date	Topic	Readings / Videos	Assignments
14 Oct		* Deep Learning Book - Part I: Applied Math and Machine Learning Basics
21 Oct	MLPs, Gradient Descent & Backpropagation	Deep Learning Book - Chapter 6: Deep Feedforward Networks	First Steps
28 Oct	CNNs	Deep Learning Book - Chapter 9: Convolutional Networks, Sections 9.1 to 9.5	TensorBoard & tf.data
04 Nov	No Lecture!	Deep Learning Book - Chapter 9: Convolutional Networks, remaining sections Reading Assignment	CNNs
11 Nov	CNNs (cont.)	Reading Assignment (continued)
18 Nov	RNNs	Deep Learning Book - Chapter 10: Sequence Modeling: Recurrent and Recursive Nets, Sections 10.1 to 10.5	DenseNet
25 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	RNNs
02 Dec	Attention and Memory	Reading Assignment	More RNNs
09 Dec	Autoencoders and Word Embeddings	Reading Assignment	Attention?
16 Dec	Practical Methodology	Deep Learning Book - Chapter 11: Practical Methodology Andrew Ng: Machine Learning Yearning	Autoencoders
13 Jan	Regularization & Optimization	Deep Learning Book - Chapter 7: Regularization Deep Learning Book - Chapter 8: Optimization (except Section 8.6)	Validating Data
20 Jan	Introspection	Reading Assignment	Adversarial Examples
27 Jan	Model Compression & Transfer Learning	Reading Assignment