Building Our First Simple GAN in PyTorch

Building Our First Simple GAN in PyTorch

Building Our First Simple GAN in PyTorch. We build a simple generative adversarial network based on fully connected layers and train it on the MNIST dataset. It's far from perfect, but it's a start and will lead us to implement more advanced and better architectures in upcoming videos.

In this video we build a simple generative adversarial network based on fully connected layers and train it on the MNIST dataset. It's far from perfect, but it's a start and will lead us to implement more advanced and better architectures in upcoming videos.

Github Repository: https://github.com/aladdinpersson/Machine-Learning-Collection

OUTLINE:

  • 0:00 - Introduction
  • 0:29 - Building Discriminator
  • 2:14 - Building Generator
  • 4:36 - Hyperparameters, initializations, and preprocessing
  • 10:14 - Setup training of GANs
  • 22:09 - Training and evaluation

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