Lectures
| Date | Topic | Due | ||
|---|---|---|---|---|
| Module 1: Background | ||||
| 01/06 |
Lecture #1
(Bo Dai):
Course Overview |
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| 01/08 |
Lecture #2
(Bo Dai):
Linear Algebra |
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| 01/13 |
Lecture #3
(Bo Dai):
Probabilistic and Statistics |
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| 01/15 |
Lecture #4
(Bo Dai):
Optimization |
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| 01/20 | No Class (Martin Luther King Day) | |||
| 01/22 |
Lecture #5
(Haotian Sun & Tianyi Chen):
Python / Numpy Review Session (TA session) |
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| Module 2: Supervised Learning | ||||
| 01/27 |
Lecture #6
(Bo Dai):
Linear Regression |
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| 01/29 |
Lecture #7
(Bo Dai):
Logistic Regression |
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| 02/03 |
Lecture #8
(Bo Dai):
Multiclass Logistic Regression & Naive Bayes Classifier |
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| 02/05 |
Lecture #9
(Bo Dai):
Generative Model vs Discriminative Model |
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| 02/10 |
Lecture #10
(Bo Dai):
Neural Networks |
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| 02/12 |
Lecture #11
(Bo Dai):
Backpropagation |
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| 02/17 |
Lecture #12
(Bo Dai):
CNNs |
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| 02/19 |
Lecture #13
(Bo Dai):
RNNs |
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| 02/24 |
Lecture #14
(Zihao Zhao, Binyue Deng, Jonathan Li):
PyTorch Review Session (TA session) |
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| Module 3: Unsupervised Learning | ||||
| 02/26 |
Lecture #15
(Bo Dai):
Density Estimation: Gaussian Mixture Models |
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| 03/03 |
Lecture #16
(Bo Dai):
Clustering: K-means ↔ Gaussian Mixture Models |
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| 03/05 |
Lecture #17
(Bo Dai):
Variational Auto-Encoder |
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| 03/10 |
Lecture #18
(Bo Dai):
Dimension Reduction & Review |
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| 03/12 |
Lecture #19
(Bo Dai):
Midterm Exam |
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| 03/17 | No Class (Spring Break) | |||
| 03/19 | No Class (Spring Break) | |||
| 03/24 |
Lecture #20
(TA Teams):
Midterm Solution Review & Regrade Discussion |
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| 03/26 |
Lecture #21
(Bo Dai):
Representation Learning |
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| Module 4: Large Language Models | ||||
| 03/31 |
Lecture #22
(Bo Dai):
LLMs: Attention and Transformer |
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| 04/02 |
Lecture #23
(Bo Dai):
LLMs: Instruction Fine-Tuning & RLHF |
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| Module 5: Projects | ||||
| 04/07 |
Lecture #24
(Bo Dai):
Project Presentation |
|||
| 04/09 |
Lecture #25
(Bo Dai):
Project Presentation |
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| 04/14 |
Lecture #26
(Bo Dai):
Project Presentation |
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| 04/16 |
Lecture #27
(Bo Dai):
Project Presentation |
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| 04/21 | No Class; Project Report Due | |||