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A jittor implementation of CGAN on MNIST dataset.
Please install jittor according to the instructions on https://cg.cs.tsinghua.edu.cn/jittor/download/
Run ‘python CGAN.py’ in terminal to start the training and generate the image consisting of the set number. And you can change the number defined in ‘CGAN.py’ to regenerate the image of given number and change hype-parameters.
A Jittor implementation of CGAN
jittor-thu-CGAN
Introduction
A jittor implementation of CGAN on MNIST dataset.
Environment
Please install jittor according to the instructions on https://cg.cs.tsinghua.edu.cn/jittor/download/
run CGAN
Run ‘python CGAN.py’ in terminal to start the training and generate the image consisting of the set number. And you can change the number defined in ‘CGAN.py’ to regenerate the image of given number and change hype-parameters.