GANs Implementation: Creating Faces that Don't Exist

In this video, we dive deep into the implementation of GANs using the CelebA dataset to generate stunningly realistic human faces that don't even exist. You'll learn: How to code the Generator and Discriminator from scratch. Step-by-step training process for GANs. How to calculate and optimize the Generator and Discriminator loss. Whether you're a beginner or an AI enthusiast, this video is your gateway to mastering GANs and understanding how they create new data. Perfect for those interested in Generative AI, deep learning, or image synthesis. GitHub: https://github.com/AarohiSingla/GANs 📥 Dataset: https://drive.google.com/uc?id=0B7EVK8r0v71pZjFTYXZWM3FlRnM 📧 For inquiries or collaborations: [email protected] 💻 Frameworks: PyTorch, Python 🔔 Don't forget to like, share, and subscribe for more AI tutorials!