CS 5043: Advanced Machine Learning: Deep Learning

DLP = Deep Learning with Python

Class #	Date	Topic	Reading	Assignment	Due
1	Tue, Jan 15	Class Introduction Taxonomy of Machine Learning Methods	Syllabus DLP CH 1, 4 – 4.1
2	Thu, Jan 17	Python Basics	DLP CH 2 – 2.2
3	Tue, Jan 22	Jupyter and our Computational Environment	DLP Appendix A & B
4	Thu, Jan 24	Mathematical Tools	DLP CH 2.3 -
5	Tue, Jan 29	Backpropagation	DLP CH 3 – 3.1
6	Thu, Jan 31	Tensorflow Introduction	???	HW 1
7	Tue, Feb 5	Keras Introduction	DLP CH 3.2 -
8	Thu, Feb 7	Model Evaluation	DLP CH 4.2	HW 2	HW 1
9	Tue, Feb 12	Model Fitting Techniques	DLP CH 4.3 -
10	Thu, Feb 14	Convolutional Neural Networks	DLP CH 5 – 5.3	HW 3	HW 2
11	Tue, Feb 19	Convolutional Neural Networks	n/a
12	Thu, Feb 21	Convolutional Neural Networks: Analysis	DLP CH 5.4 -		HW 3
13	Tue, Feb 26	Project Proposals	n/a
14	Thu, Feb 28	Recurrent Neural Networks	DLP CH 6 – 6.2	HW 4
15	Tue, Mar 5	RNNs and Memory	DLP CH 6.3
16	Thu, Mar 7	Timeseries Processing	DLP CH 6.4 -		HW 4
17	Tue, Mar 12	Parallel Architectures	DLP CH 7 – 7.1
18	Thu, Mar 14	Tensorflow Instrumentation	DLP CH 7.2
-	Tue, Mar 19	Holiday
-	Thu, Mar 21	Holiday
19	Tue, Mar 26	Project Checkpoint	n/a		Presentation
20	Thu, Mar 28	Project Checkpoint	n/a		Presentation
21	Tue, Apr 2	Creating Larger Models	DLP CH 7.3
22	Thu, Apr 4	Deep Reinforcement Learning	???
23	Tue, Apr 9	Deep Reinforcement Learning II	???
24	Thu, Apr 11	Generative Models	DLP CH 8 – 8.1
25	Tue, Apr 16	Project Checkpoint	n/a		Presentation
26	Thu, Apr 18	Project Checkpoint	n/a		Presentation
27	Tue, Apr 23	Generative Models for Images	DLP CH 8.2 – 8.3
28	Thu, Apr 25	Variational Autoencoders	DLP CH 8.4
29	Tue, Apr 30	Generative Adversarial Networks	DLP CH 8.5
30	Thu, May 2	Poster Presentations	n/a		Poster
	Fri, May 3				Appendix submission
31	Thu, May 9	No meeting	n/a

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