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A simple GAN to generate handwritten digits trained on MNIST dataset

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MNIST-GAN

The notebook contains a step-by-step construction of the major components of a GAN from scratch along with the training phase. It also includes elucidated explanations on how each component has been implemented and is helpful to get started with GANs and get a handle on them.

The following image demonstrates the progressive improvement of the generator in generating real handwritten digits during different phases of training:

Training GAN

In this basic model, Generator and Discriminator are linear models.

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A simple GAN to generate handwritten digits trained on MNIST dataset

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