MuhammadShavaiz/GAN-Digit-Generator

This PyTorch-based GAN generates MNIST-like handwritten digits. It features a generator with transposed convolutions to create 28x28 images from noise and a convolutional discriminator to classify images as real or fake. The model trains adversarially using standard GAN loss to improve both generator and discriminator performance.

Jupyter Notebook