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Gradient Reversal Layer
### Description Implement a Gradient Reversal Layer (GRL), a key component in Domain-Adversarial Neural Networks (DANNs). [1] The GRL acts as an identity function during the forward pass but...
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Generative Adversarial Network (GAN) on MNIST
Implement and train a simple **Generative Adversarial Network (GAN)**. The network consists of a generator and a discriminator. The generator takes a random noise vector and tries to generate a...
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