| Date | Topic | Course Materials |
|---|---|---|
| Aug 19, 2019 | Course Introduction | [slides] |
| Aug 21, 2019 | Image Classification |
[slides] [python/numpy tutorial] [image classification notes] [linear classification notes] |
| Aug 26, 2019 | Loss Functions and Optimization |
[slides] [optimization notes] [linear classification notes] |
| Aug 28, 2019 | Introduction to Neural Networks |
[slides] [backprop notes]
Assignment 1 Released
|
| Sep 2, 2019 | Labor Day — No Class | |
| Sep 4, 2019 | Introduction to Database Systems and Advanced SQL |
[slides] [sql tutorial] |
| Sep 9, 2019 | Disk-centric and In-memory Database Systems |
[slides] [reading #1] |
| Guidelines for Picking a Project |
[project milestones] |
|
| Sep 11, 2019 | Data Storage and Compression | [slides] |
| Sep 16, 2019 | Query Execution |
[slides] |
| Sep 18, 2019 | Query Optimization |
[slides] [reading #2] |
| Sep 23, 2019 | Convolutional Neural Networks |
[slides] [convnet notes]
Assignment 1 Due
Assignment 2 Released
|
| Sep 25, 2019 | Deep Learning Hardware and Software |
[slides] [PyTorch notebook] [TensorFlow notebook] |
| Sep 30, 2019 | Project Proposals | |
| Oct 2, 2019 | Training Neural Networks (Part 1) |
[slides] [Neural Nets notes 1] [Neural Nets notes 2] |
| Oct 7, 2019 | Training Neural Networks (Part 2) |
[slides] [Neural Nets notes 3] |
| Oct 9, 2019 | CNN Architectures |
[slides] AlexNet, VGGNet, GoogLeNet, ResNet |
| Oct 14, 2019 | Fall Recess — No Class | |
| Oct 16, 2019 | Recurrent Neural Networks |
[slides] DL book RNN chapter (optional) min-char-rnn, char-rnn, neuraltalk2 |
| Oct 21, 2019 | Generative Models |
[slides] gan zoo |
| Oct 23, 2019 | Detection and Segmentation |
[slides]
Assignment 2 Due
Assignment 3 Released
|
| Oct 28, 2019 | Project Progress Reports (Part 1) | |
| Oct 30, 2019 | Mid-term Exam | |
| Nov 4, 2019 | HPTS Workshop — No Class | |
| Nov 6, 2019 | Visualizing and Understanding |
[slides] |
| Nov 11, 2019 | Deep Reinforcement Learning (Part 1) |
[slides] [writing tips] |
| Nov 13, 2019 | Deep Reinforcement Learning (Part 2) |
[slides] [speaking tips] |
| Nov 18, 2019 | Project Progress Reports (Part 2) | |
| Nov 20, 2019 | Adversarial Training |
[slides] |
| Nov 25, 2019 | Ankur Goyal (Impira) |
[slides] |
| Nov 27, 2019 | Student Recess — No Class |
Assignment 3 Due
|
| Dec 2, 2019 | Project Slack Space — No Class | |
| Dec 4, 2019 | Reading Period — No Class | |
| Dec 9, 2019 | Project Presentations |
Credits
The slide decks are derived from the following courses:
- Stanford 231N: Convolutional Neural Networks for Visual Recognition, Fei Fei Li, Andrej Karpathy, and Justin Johnson.
- CMU 15-721: Advanced Database Systems, Andy Pavlo.
NOTE: The schedule is tentative and is subject to change as the semester progresses.