This page provides a tentative schedule of all lectures for the coures. The precise timing of some of these lectures could change. Slides for future lectures are provided, but are from a previous version of the course; updated slides for each lecture will be posted prior to class each day. Lecture videos for the public online course, when they are available, will be posted on this page along with each set of slides.

Date (CMU) Lecture Instructor Slides Video (2022 version)
8/29 1 - Introduction / Logistics Kolter pdf YouTube
8/29 2 - ML Refresher / Softmax Regression Kolter pdf YouTube
9/5 3 - Manual Neural Networks / Backprop Kolter pdf YouTube (pt 1) YouTube (pt 2)
9/7 4 - Automatic Differentiation Chen pdf YouTube
9/12 5 - Automatic Differentiation Implementation Chen ipynb YouTube
9/14 6 - Optimization Kolter pdf YouTube
9/19 7 - Neural Network Library Abstractions Chen pdf YouTube
9/21 8 - NN Library Implementation Chen ipynb YouTube
9/26 9 - Normalization, Dropout, + Implementation Kolter pdf YouTube
9/28 10 - Convolutional Networks Kolter pdf YouTube
10/3 11 - Hardware Acceleration for Linear Algebra Chen pdf YouTube
10/5 12 - Hardware Acceleration + GPUs Chen pdf YouTube
10/10 13 - Hardware Acceleration Implementation Chen ipynb YouTube
10/12 14 - Convoluations Network Implementation Kolter ipynb YouTube
10/17 No class - Fall Break      
10/19 No class - Fall Break      
10/24 15 - Sequence Modeling + RNNs Kolter pdf YouTube
10/26 16 - Sequence Modeling Implementation Kolter ipynb YouTube
10/31 17 - Transformers and Autoregressive Models Kolter pdf Youtube
11/2 18 - Transformers Implementation Kolter ipynb Youtube
11/7 No class - Democracy Day      
11/9 19 - Training Large Models Chen pdf YouTube
11/14 20 - Generative Models Chen pdf YouTube
11/16 21 - Generative Models Implementation Chen ipynb YouTube
11/21 22 - Customize Pretrained Models Chen pdf  
11/23 No class - Thanksgiving      
11/28 23 - Model Deployment Chen pdf Youtube
11/30 24 - Machine Learning Compilation and Deployment Implementation Chen ipynb Youtube
12/5 25 - Future Directions / Q&A Both    
12/7 26 - Student project presentations Students