Description:

This course will guide you through building a Generative Adversarial Network (GAN) model using PyTorch on the popular MNIST dataset. You will learn the fundamentals of GANs, how to implement them in PyTorch, and how to generate realistic images of handwritten digits. By the end, you will have a solid understanding of GANs and the skills to apply them in your own projects.

Key Highlights:

• Hands-on GAN model implementation
• Training on MNIST dataset
• Generating realistic digit images

What you will learn:

• Develop a GAN model
  Learn to develop a Generative Adversarial Network model using PyTorch.
• MNIST dataset training
  Understand how to train your GAN model on the MNIST dataset for image generation.
• Generate digit images
  Master the art of generating realistic digit images with your GAN model.