This page provides a tentative schedule of all lectures for the coures. Slides and video recordings will be released during the courses of the semester. Course lectures can be watched usually within 2-3 hours after class lecture, and are available on the course Canvas page (click on “Cloud Recordings” and navigate to the lecture of the appropriate date).
Date | Lecture | Instructor | Slides | Comments |
---|---|---|---|---|
8/30 | 1 - Introduction / Logistics | Kolter | HW0 Out | |
9/1 | 2 - ML Refresher / Softmax Regression | Kolter | ||
9/8 | 3 - Manual Neural Networks / Backprop | Kolter | ||
9/13 | 4 - Automatic Differentiation | Chen | HW0 Due | |
9/15 | 5 - AD Implementation | Chen | ipynb | HW1 Out |
9/20 | 6 - Fully-connected NNs, Optimization, Initialization | Kolter | ||
9/22 | 7 - Normalization, Regularization, Dropout | Kolter | ||
9/27 | 8 - NN Library Implementation 1 | Chen | ||
9/29 | 9 - NN Library Implementation 2 | Chen | ipynb | HW1 Due |
10/4 | 10 - Convolutional Networks | Kolter | HW2 Out | |
10/6 | 11 - Hardware Acceleration for Linear Algebra | Chen | ||
10/11 | 12 - Hardware Acceleration + GPUs | Chen | ||
10/13 | 13 - Hardware Acceleration Implementation | Chen | ipynb | |
10/18 | 14 - ConvNet Implementation + GPUs | Kolter | ipynb | HW2 Due |
10/20 | 15 - Sequence Modeling + RNNs | Kolter | ||
10/25 | 17 - Training Large Models | Chen | ||
10/27 | 16 - Sequence Modeling Implementation | Kolter | ipynb | |
11/1 | 18 - Architecture Overview Hardware Acceleration | Chen | ipynb | |
11/3 | 19 - Transformers + Attention | Kolter | ||
11/8 | 20 - Transformers + Attention Implementation | Kolter | ipynb | |
11/10 | 21 - Generative Adversarial Networks | Chen | ||
11/15 | 22 - Generative Adversarial Networks Implementation | Chen | ipynb | HW3 Due |
11/17 | 23 - Model Deployment | Chen | ||
11/22 | 24 - Machine Learning Compilation and Deployment Implementation | Chen | ipynb | HW4 out |
11/29 | 25 - Future Directions / Q&A | Both | ||
12/1 | 26 - Student project presentations | Students |