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

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