Schedule
The schedule is tentative and can subject to change. We will have guest lectures and may accomodate the schedule accordingly.
| Date | |
|---|---|
| Mar 27th | Introduction to Deep Learning |
| Mar 29th | Lab: How to build image classifier |
| April 3th | Components Overview of Deep Learning System |
| April 5th | Backprop and Automatic Differentiation |
| April 10th | Hardware backends: GPU |
| April 12th | Optimize for hardware backends |
| April 17th | Domain specific language, TVM stack |
| April 19th | Hardware Specialization in Deep Learning |
| April 24th | Memory Optimization |
| April 26th | Parallel Scheduling |
| May 1st | No class, hacking on project proposal |
| May 3rd | No class |
| May 8th | Distributed Training and Communication Primitives |
| May 10th | Model Serving |
| May 15th | Low bit optimization, guest talk by Meghan Cowan |
| May 18th | Joint Guest Lecture with hardware 599: Eric Chung Location: CSE305 at 9:30am |
| May 22nd | Guest Lecture:Amar Phanishayee Location: Mueller Hall 153 |
| May 24th | Guest Lecture:Matthai Philipose Location: CSE305 |
| May 29th | Guest Lecture:Vinod Grover Location: Mueller Hall 153 |
| May 31st | Project presentation |