The DeepLearning.AI Generative Adversarial Networks (GANs) Specialization provides an exciting introduction to image generation with GANs, charting a path from foundational concepts to advanced techniques through an easy-to-understand approach. It also covers social implications, including bias in ML and the ways to detect it, privacy preservation, and more.
Build a comprehensive knowledge base and gain hands-on experience in GANs. Train your own model using PyTorch, use it to create images, and evaluate a variety of advanced GANs.
This Specialization is taught by Sharon Zhou, Adjunct Faculty in Computer Science at Stanford
And here are my solutions of the programming assignement
[1] Generative Adversarial Networks (GANs) Specialization - DeepLearning.AI