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Project: GAN Generation

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Python PyTorch Generative Adversarial Networks MNIST Dataset Last Updated: August 2022

Backup of GAN Learning Project (August 2022)

[!NOTE] The project explores various GAN architectures and improvements through iterative versions.

[!IMPORTANT] This project is a personal learning exercise in understanding and implementing different GAN techniques.

This project re-implemented GAN, WGAN and conditional GAN and explored the typical problems that occurred with GAN-based architectures like mode collapse and sensitivity to hyperparameters.