This repository contains code to train a Generative Adversarial Network (GAN) using PyTorch. The repository includes the generator and discriminator models, training process, and result visualization.
https://www.youtube.com/watch?v=LSyDIURO6qo&ab_channel=YusufMorsi
This project demonstrates how to train a GAN with custom kernel sizes and padding values for the generator and discriminator. The training process includes setting up optimizers, applying weight initialization, and logging losses during training.
- Python 3.x
- PyTorch
- torchvision
- numpy
- matplotlib
- Clone the repository:
git clone https://github.com/ymorsi7/DCGANImageGen.git