笔记目录

课件

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

作业

Homework Released Due Colab Link GitHub Repo
Homework 0 8/29 9/12 colab github
Homework 1 9/12 9/26 colab github
Homework 2 9/26 10/10 colab github
Homework 3 10/10 11/1 colab github
Homework 4 10/31 11/14 colab github
Homework 4 Extra (714 only) 11/14 12/1 colab github

学习进度

课件翻译

资源