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✨Introduction

Course Assessment

Make Your First GAN: Part 1 - Exam

✨The GAN Idea

Generating Images Adversarial Training Training a GAN 📚Learning Points in The GAN Idea

✨Simple 1010 Pattern

Generating Real Data Building The Discriminator Training and Testing The Discriminator Building The Generator Training The 1010 Pattern GAN 📚Learning Points in Simple 1010 Pattern

🖥️ Project: A Simple 01110 Pattern GAN

Generating Real Data 🍀 Challenge: Building the Discriminator Solution Review: Building the Discriminator 🍀 Challenge: Building the Generator Solution Review: Building the Generator Training the 01110 Pattern GAN

✨Handwritten Digits

The MNIST Dataset Class

The MNIST Discriminator

The MNIST Generator

Training the MNIST GAN

Mode Collapse

Improving GAN Training

Experimenting with Seeds

📚Learning Points in Handwritten Digits

🖥️ Project: Fashion MNIST GAN

🍀 Challenge: Building the Discriminator Solution Review: Building the Discriminator 🍀 Challenge: Building the Generator Solution Review: Building the Generator Training The Fashion MNIST GAN

✨Human Faces

The Colour Images CelebA Dataset The Dataset Class The Discriminator The Generator Training The Human Faces GAN 📚Learning Points in Human Faces

Course Assessment

Make Your First GAN: Part 2 - Exam

✨Convolutional GANs

Introduction to Convolutional GANs MNIST CNN CelebA CNN Experimentation 📚Learning Points in Convolutional GANs

🖥️ Project: A Fashion MNIST CNN

🍀 Challenge: Define the Convolution Neural Network Architecture Solution Review: Define the Convolution Neural Network The Fashion MNIST CNN Classifier Performance

✨Conditional GANs

Introduction to Conditional GANs The Discriminator The Generator Training the MNIST cGAN Conditional GAN Results 📚Learning Points in Conditional GANs

🖥️ Project: Fashion MNIST Conditional GAN

🍀 Challenge: Define the Discriminator Solution Review: Define the Discriminator 🍀 Challenge: Define the Generator Solution Review: Define the Generator Training the Fashion MNIST cGAN

Course Assessment

Make Your First GAN: Part 3 - Exam

✨Conclusion

🏆 A Quick Overview 🚀 What's Next?

✨Appendix

Appendix 0: Author's Notes Appendix 1: Google Colab Workspace Appendix A: Ideal Loss Values Appendix B: GANs Learn Likelihood Appendix C: Convolution Examples Appendix D: Unstable Learning Appendix E: Acknowledgments

Training the MNIST GAN

Learn about training the GAN.

Let’s train this GAN.

The training loop

The training loop is the same as before. The only changes are the data passed to the discriminator and the generator.

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✨Introduction

✨PyTorch Basics

🖥️ Project: Computation Graph and Gradient Calculation

✨First PyTorch Neural Network

✨Refinements

🖥️ Project: Fashion MNIST Classification Model

✨CUDA Basics

Make Your First GAN: Part 1 - Exam

✨The GAN Idea

✨Simple 1010 Pattern

🖥️ Project: A Simple 01110 Pattern GAN

✨Handwritten Digits

🖥️ Project: Fashion MNIST GAN

✨Human Faces

Make Your First GAN: Part 2 - Exam

✨Convolutional GANs

🖥️ Project: A Fashion MNIST CNN

✨Conditional GANs

🖥️ Project: Fashion MNIST Conditional GAN

Make Your First GAN: Part 3 - Exam

✨Conclusion

✨Appendix

Training the MNIST GAN

The training loop