This repository provides a TensorFlow implementation of DCGAN, a generative adversarial network architecture designed to produce realistic images. It includes training scripts for standard datasets like MNIST and CelebA, with configurable parameters for input/output dimensions and optional data augmentation through cropping. The project allows users to train new models or test with pre-trained checkpoints on custom datasets.