GAN Explained from Scratch | Theory + Math + Code + Proof | தமிழில்

💡 Recommended: For a smoother viewing experience, try watching this video at 1.25× playback speed. 00:00 Introduction 00:45 What is a Generative Adversarial Network (GAN)? 05:20 GAN Implementation Using MNIST & CelebA 16:30 GAN Training Algorithm 19:34 PyTorch Implementation & Training Process 26:45 Generator & Discriminator Architecture 37:23 GAN Theory & Mathematical Proof 51:05 KL Divergence & Jensen-Shannon (JS) Divergence 56:25 Conclusion & Key Takeaways