Digit Generation using GAN

• Concepts used:
  • Generator
  • Discriminator (Classifier)
  • Batch Normalization
  • Transpose Convolution
• Tech Stack:
• Python and PyTorch
• GitHub: Project Link

Trained a model on MNIST dataset using Vanilla Generative Adversarial Neural Network(GAN) in Python using PyTorch framework and our model was able to synthesize real looking images after few epochs.