This project forked from illinois-impact/2016fa_ece408_project
The goal of this project is to accelerate the forward propagation step of the Convolutional Neural Network (CNN) algorithm using GPUs.
We use GPUs to acceralate forward propagation of Convolutional Neural Network (CNN). The model is trained using 60,000 MNIST examples (training set images) and the provided test data is 10,000 images.
To build and run the program, please see https://github.com/webgpu/ece408project for detailed information.
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