01 - Introduction
Advanced mastery of Chapter 1, Introduction, covering every named section across book pages 1-28.
- Status
- Not started
- Quiz recall
- 0%
- Duration
- ~45 min
- Remaining
- 10 questions
Course dossier
Learn each chapter, work through guided checkpoints, then test recall in the linked quiz.
Progress overview
Estimated quiz time: about 1765 minutes, plus guided reading. Progress remains local to this browser.
Chapter learning paths
Advanced mastery of Chapter 1, Introduction, covering every named section across book pages 1-28.
Advanced mastery of Chapter 2, Linear Algebra, covering every named section across book pages 31-52.
Advanced mastery of Chapter 3, Probability and Information Theory, covering every named section across book pages 53-79.
Advanced mastery of Chapter 4, Numerical Computation, covering every named section across book pages 80-97.
Advanced mastery of Chapter 5, Machine Learning Basics, covering every named section across book pages 98-165.
Advanced mastery of Chapter 6, Deep Feedforward Networks, covering every named section across book pages 168-227.
Advanced mastery of Chapter 7, Regularization for Deep Learning, covering every named section across book pages 228-273.
Advanced mastery of Chapter 8, Optimization for Training Deep Models, covering every named section across book pages 274-329.
Advanced mastery of Chapter 9, Convolutional Networks, covering every named section across book pages 330-372.
Advanced mastery of Chapter 10, Sequence Modeling: Recurrent and Recursive Nets, covering every named section across book pages 373-420.
Advanced mastery of Chapter 11, Practical Methodology, covering every named section across book pages 421-442.
Advanced mastery of Chapter 12, Applications, covering every named section across book pages 443-485.
Advanced mastery of Chapter 13, Linear Factor Models, covering every named section across book pages 489-501.
Advanced mastery of Chapter 14, Autoencoders, covering every named section across book pages 502-525.
Advanced mastery of Chapter 15, Representation Learning, covering every named section across book pages 526-557.
Advanced mastery of Chapter 16, Structured Probabilistic Models for Deep Learning, covering every named section across book pages 558-589.
Advanced mastery of Chapter 17, Monte Carlo Methods, covering every named section across book pages 590-604.
Advanced mastery of Chapter 18, Confronting the Partition Function, covering every named section across book pages 605-630.
Advanced mastery of Chapter 19, Approximate Inference, covering every named section across book pages 631-653.
Advanced mastery of Chapter 20, Deep Generative Models, covering every named section across book pages 654-720.