Schedule

* = optional reading

Date	Topic	Readings / Videos	Assignments
10 Oct	Introductions	* Deep Learning Book - Part I: Applied Math and Machine Learning Basics
17 Oct	MLPs, Gradient Descent & Backpropagation	Deep Learning Book - Chapter 6: Deep Feedforward Networks	First Steps
24 Oct	CNNs	Deep Learning Book - Chapter 9: Convolutional Networks, Sections 9.1 to 9.5	Visualization
31 Oct	No Lecture! (Public Holiday)	Deep Learning Book - Chapter 9: Convolutional Networks, remaining sections Reading Assignment	CNNs
07 Nov	CNNs (cont.)	Reading Assignment (continued)	tf.Estimator & Assorted Programming Puzzles
14 Nov	RNNs	Deep Learning Book - Chapter 10: Sequence Modeling: Recurrent and Recursive Nets, Sections 10.1 to 10.5	Object Detection
21 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	Language Modeling & RNNs
28 Nov	Attention and Memory	Reading Assignment
05 Dec	Regularization	Deep Learning Book - Chapter 7: Regularization	More Realistic Language Modeling & RNNs
12 Dec	Optimization	Deep Learning Book - Chapter 8: Optimization (except Section 8.6)
19 Dec	Practical Methodology	Deep Learning Book - Chapter 11: Practical Methodology
09 Jan	Autoencoders	Deep Learning Book - Chapter 14: Autoencoders
16 Jan	Introspection	Reading Assignment	Autoencoders (OPTIONAL)
23 Jan	Model Compression & Transfer Learning	Reading Assignment