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Make Your First GAN Using PyTorch
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✨Introduction
AI is Exploding!
Who Is This Course For?
✨PyTorch Basics
Why PyTorch?
Pytorch Tensors
Automatic Gradients with PyTorch
Computation Graphs
📚Learning Points in PyTorch Basics
🖥️ Project: Computation Graph and Gradient Calculation
🍀 Challenge: Setting Up a Computation Graph
Solution Review: Setting Up a Computation Graph
🍀 Challenge: Finding Gradient
Solution Review: Finding Gradient
✨First PyTorch Neural Network
MNIST Image Dataset
Simple Neural Network
Visualizing Training
The MNIST Dataset Class
Training Our Classifier
Querying Our Neural Network
Simple Classifier Performance
📚Learning Points in First PyTorch Neural Network
✨Refinements
Loss Function
Activation Function
Optimisation Function
Normalisation
Combined Refinements
📚Learning Points in Refinements
🖥️ Project: Fashion MNIST Classification Model
The Fashion MNIST Dataset Class
🍀 Challenge: Define the Neural Network Architecture
Solution Review: Define the Neural Network Architecture
The Fashion MNIST Classifier Performance
✨CUDA Basics
NumPy vs. Python
Nvidia CUDA
Using CUDA in Python
📚Learning Points in CUDA Basics
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
📚Learning Points in Convolutional GANs
Let's summarize convolutional GANs.
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