This repository contains the reference implementation of the Deep Convolutional Generative Adversarial Networks paper. It provides architectural constraints to stabilize GAN training, including batch normalization, strided convolutions replacing pooling layers, and ReLU/LeakyReLU activations. The model learns unsupervised representations and demonstrates the ability to generate realistic synthetic images and interpolate smoothly through latent space.