The architecture of a typical GAN consists of the following components:
Let us assume you have legally obtained the PDF and cloned the GitHub repo. Here is how to run your first GAN in under 15 minutes.
# Preprocess the data x_train = x_train.reshape(-1, 784).astype('float32') / 127.5 - 1.0
The architecture of a typical GAN consists of the following components:
Let us assume you have legally obtained the PDF and cloned the GitHub repo. Here is how to run your first GAN in under 15 minutes.
# Preprocess the data x_train = x_train.reshape(-1, 784).astype('float32') / 127.5 - 1.0
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