UDL Book

• UDL Book
• Chapter 1 - Introduction
• Chapter 4 - Deep Neural Networks
• Chapter 5 - Loss functions
• Chapter 6 - Fitting models
• Chapter 7 - Gradients and Initialization
• Chapter 8 - Measuring performanc
• Chapter 9 - Regularization
• Chapter 10 - CNNs
• Chapter 11 - Residual Networks
• Chapter 12 - Transformers
• Chapter 13 - Graph Networks
• Chapter 14 - Unsupervised Learning
• Chapter 15 - GAN
• Chapter 16 - Normalizing Flows
• Chapter 17 - VAE