Basic GAN Implementation with TensorFlow

Description

I implemented a basic Generative Adversarial Network (GAN) using TensorFlow. The model generates realistic images of handwritten digits. I trained the generator and discriminator models on the MNIST dataset. This project helped me understand GANs, loss functions, and training loops.

Utilities Used

• TensorFlow
• Keras
• NumPy
• Matplotlib
• MNIST Dataset

Project Walk-through

Dataset Loading & Preprocessing


Model Architecture


Loss Functions


Training Loop


Image Generation