HOML = Hands-On Machine Learning
DL = Deep Learning (these are generally optional readings, but fill in a lot of great detail)
Class # | Date | Topic | Reading | Assignment | Due |
1 | Tue, Jan 26 | Class Introduction | Syllabus | ||
2 | Thu, Jan 28 | Multi-Layer Neural Networks Background: Python Basics | HOML CH 10 (pp. 279-295) Depth: DL CH 6-6.3 Background: Introduction to Python for Programmers (video on Canvas) | ||
3 | Tue, Feb 2 | Backpropagation | Depth: DL CH 6.4-6.5 | ||
4 | Thu, Feb 4 | Jupyter and our Computational Environment | HOML CH 10 (pp. 295-314) | ||
5 | Tue, Feb 9 | Visualizing and Tuning Models | HOML CH 10 (rest) | ||
6 | Thu, Feb 11 | Training Deep Networks I | HOML CH 11 (pp. 331-351) Depth: DL CH 8-8.3) | HW 1 | |
7 | Tue, Feb 16 | Training Deep Networks II | HOML CH 11 (rest) Depth: DL CH 8.4-8.6 | ||
8 | Thu, Feb 18 | Data Handling in TensorFlow I | HOML CH 13 (pp. 413-430) | HW 2 | HW 1 |
9 | Tue, Feb 23 | Data Handling in TensorFlow II | HOML CH 13 (rest) | ||
10 | Thu, Feb 25 | Convolutional Neural Networks I | HOML CH 14 (pp. 445-453) Depth: DL 9-9.2, 9.10 | HW 3 | HW 2 |
11 | Tue, Mar 2 | Convolutional Neural Networks II | HOML CH 14 (pp. 453-460) Depth: DL 9.3-9.4 | ||
12 | Thu, Mar 4 | Convolutional Neural Networks III | HOML CH 14 (pp. 460-483) | HW 4 | HW 3 |
13 | Tue, Mar 9 | Convolutional Neural Networks IV | HOML CH 14 (rest) | ||
14 | Thu, Mar 11 | Recurrent Neural Networks | HOML CH 15 (pp. 497-511) Depth: DL 10-10.2 | HW 5 | HW 4 |
15 | Tue, Mar 16 | Recurrent Neural Networks: Memory | HOML CH 15 (pp. 511-518) Depth: DL 10.7- | ||
16 | Thu, Mar 18 | Recurrent Neural Networks: Memory | HOML CH 15 (pp. 518-523) | ||
17 | Tue, Mar 23 | Recurrent Neural Networks: Natural Language Proccessing | HOML CH 16 (pp. 525-534) Depth: DL 12.4-12.4.4 | ||
18 | Thu, Mar 25 | TBA | TBA | HW 6 | HW 5 |
19 | Tue, Mar 30 | Recurrent Neural Networks: Sentiment Analysis | HOML CH 16 (pp. 534-542) | ||
20 | Thu, Apr 1 | Recurrent Neural Networks: Machine Translation | HOML CH 16 (pp. 542-554) Depth: DL 12.4.5 | ||
21 | Tue, Apr 6 | NO CLASS | n/a | ||
22 | Thu, Apr 8 | Recurrent Neural Networks: Attention | HOML CH 16 (pp. 554-565) | HW 7 | HW 6 |
23 | Tue, Apr 13 | Transformer Networks I | TBD | ||
24 | Thu, Apr 15 | Transformer Networks II | TBD | ||
25 | Tue, Apr 20 | Autoencoders | HOML CH 17 (pp. 567-579) Depth: DL 14-14.5 | ||
26 | Thu, Apr 22 | Convolutional Autoencoders | HOML CH 17 (pp. 579-586) Depth: DL 14.6 | HW 8 | HW 7 |
27 | Tue, Apr 27 | Variational Autoencoders | HOML CH 17 (pp. 586-591) | ||
28 | Thu, Apr 29 | Generative Adversarial Networks | HOML CH 17 (pp. 591-598) | ||
29 | Tue, May 4 | Style Transfer and Cycle GANs | HOML CH 17 (rest) | ||
30 | Thu, May 6 | Explainability | TBA | HW 8 | |
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