GAN Image Generation

  • View Source
    •  

  • 📖 Overview

    🔹 A deep learning project focused on the cutting-edge field of generative models. This repository implements several types of Generative Adversarial Networks (GANs), including DCGAN and conditional GANs, to create synthetic images that mimic real datasets. The project explores the adversarial training process between the Generator and Discriminator, demonstrating the ability to generate high-fidelity visual content from random noise.
     

    💻 Tech stack & More

    ✅ Python / TensorFlow / PyTorch
    ✅ GAN (Generative Adversarial Networks)
    ✅ DCGAN Architecture
    ✅ Synthetic Image Generation
    ✅ Latent Space Exploration
    ✅ High-fidelity Visual Output