FacesGCGAN

Overview

FacesGCGAN is a deep learning project that uses Generative Adversarial Networks (GANs) for generating and analyzing facial images. This project leverages graph-based techniques to improve the quality and realism of generated faces and detect deepfakes.

For a detailed explanation of how GANs work, check out my article:
Generative Adversarial Networks Explained: Building AI-Generated Images

Installation

1. Clone the repository:

   git clone https://github.com/your-username/FacesGCGAN.git
   cd FacesGCGAN

2. Install the necessary dependencies:

   pip install -r requirements.txt

3. For Kaggle datasets, ensure you have a kaggle.json API key in place:

   from google.colab import files
   files.upload()  # Upload kaggle.json
   
   !mkdir ~/.kaggle
   !cp kaggle.json ~/.kaggle/
   !chmod 600 ~/.kaggle/kaggle.json