Digit Generation using Deep Convolution GAN (DC-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 Deep Convolution Generative Adversarial Neural Network in Python using PyTorch framework and our model was able to produce better and realistic results than the previous GANs.