Model Implementation: Generating Sequences with GANs
Learn about the discriminator and generator models for GANs with ResNet architecture.
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The discriminator and generator models used in the paper are 1D convolutions based on the ResNet architecture. We use 2D convolutions with a singleton dimension for better computational performance.
Helper functions
We start with the necessary imports and initializations:
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