assignment2-2017 - (Spring 2017) Assignment 2: GPU Executor

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In this assignment, we would implement a GPU graph executor that can train simple neural nets such as multilayer perceptron models. Our code should be able to construct a simple MLP model using computation graph API implemented in Assignment 1, and train and test the model using either numpy or GPU. If you implement everything correctly, you would see nice speedup in training neural nets with GPU executor compared to numpy executor, as expected.

http://dlsys.cs.washington.edu/
https://github.com/dlsys-course/assignment2-2017

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