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Deep Learning Book (Goodfellow, Bengio & Courville)

Learn each chapter, work through guided checkpoints, then test recall in the linked quiz.

Progress overview

Lessons
20
Questions
264
Completed
0
Active
0

Estimated quiz time: about 1765 minutes, plus guided reading. Progress remains local to this browser.

Chapter learning paths

01 - Introduction

Advanced mastery of Chapter 1, Introduction, covering every named section across book pages 1-28.

0/4 lesson sections0% learned
Status
Not started
Quiz recall
0%
Duration
~45 min
Remaining
10 questions

02 - Linear Algebra

Advanced mastery of Chapter 2, Linear Algebra, covering every named section across book pages 31-52.

0/5 lesson sections0% learned
Status
Not started
Quiz recall
0%
Duration
~65 min
Remaining
14 questions

03 - Probability and Information Theory

Advanced mastery of Chapter 3, Probability and Information Theory, covering every named section across book pages 53-79.

0/5 lesson sections0% learned
Status
Not started
Quiz recall
0%
Duration
~75 min
Remaining
14 questions

04 - Numerical Computation

Advanced mastery of Chapter 4, Numerical Computation, covering every named section across book pages 80-97.

0/4 lesson sections0% learned
Status
Not started
Quiz recall
0%
Duration
~60 min
Remaining
11 questions

05 - Machine Learning Basics

Advanced mastery of Chapter 5, Machine Learning Basics, covering every named section across book pages 98-165.

0/6 lesson sections0% learned
Status
Not started
Quiz recall
0%
Duration
~95 min
Remaining
16 questions

06 - Deep Feedforward Networks

Advanced mastery of Chapter 6, Deep Feedforward Networks, covering every named section across book pages 168-227.

0/5 lesson sections0% learned
Status
Not started
Quiz recall
0%
Duration
~95 min
Remaining
14 questions

07 - Regularization for Deep Learning

Advanced mastery of Chapter 7, Regularization for Deep Learning, covering every named section across book pages 228-273.

0/6 lesson sections0% learned
Status
Not started
Quiz recall
0%
Duration
~100 min
Remaining
16 questions

08 - Optimization for Training Deep Models

Advanced mastery of Chapter 8, Optimization for Training Deep Models, covering every named section across book pages 274-329.

0/5 lesson sections0% learned
Status
Not started
Quiz recall
0%
Duration
~100 min
Remaining
14 questions

09 - Convolutional Networks

Advanced mastery of Chapter 9, Convolutional Networks, covering every named section across book pages 330-372.

0/5 lesson sections0% learned
Status
Not started
Quiz recall
0%
Duration
~100 min
Remaining
14 questions

10 - Sequence Modeling: Recurrent and Recursive Nets

Advanced mastery of Chapter 10, Sequence Modeling: Recurrent and Recursive Nets, covering every named section across book pages 373-420.

0/5 lesson sections0% learned
Status
Not started
Quiz recall
0%
Duration
~110 min
Remaining
15 questions

11 - Practical Methodology

Advanced mastery of Chapter 11, Practical Methodology, covering every named section across book pages 421-442.

0/5 lesson sections0% learned
Status
Not started
Quiz recall
0%
Duration
~85 min
Remaining
13 questions

12 - Applications

Advanced mastery of Chapter 12, Applications, covering every named section across book pages 443-485.

0/5 lesson sections0% learned
Status
Not started
Quiz recall
0%
Duration
~100 min
Remaining
13 questions

13 - Linear Factor Models

Advanced mastery of Chapter 13, Linear Factor Models, covering every named section across book pages 489-501.

0/4 lesson sections0% learned
Status
Not started
Quiz recall
0%
Duration
~70 min
Remaining
10 questions

14 - Autoencoders

Advanced mastery of Chapter 14, Autoencoders, covering every named section across book pages 502-525.

0/4 lesson sections0% learned
Status
Not started
Quiz recall
0%
Duration
~90 min
Remaining
12 questions

15 - Representation Learning

Advanced mastery of Chapter 15, Representation Learning, covering every named section across book pages 526-557.

0/4 lesson sections0% learned
Status
Not started
Quiz recall
0%
Duration
~90 min
Remaining
11 questions

16 - Structured Probabilistic Models for Deep Learning

Advanced mastery of Chapter 16, Structured Probabilistic Models for Deep Learning, covering every named section across book pages 558-589.

0/4 lesson sections0% learned
Status
Not started
Quiz recall
0%
Duration
~95 min
Remaining
12 questions

17 - Monte Carlo Methods

Advanced mastery of Chapter 17, Monte Carlo Methods, covering every named section across book pages 590-604.

0/4 lesson sections0% learned
Status
Not started
Quiz recall
0%
Duration
~75 min
Remaining
10 questions

18 - Confronting the Partition Function

Advanced mastery of Chapter 18, Confronting the Partition Function, covering every named section across book pages 605-630.

0/5 lesson sections0% learned
Status
Not started
Quiz recall
0%
Duration
~95 min
Remaining
13 questions

19 - Approximate Inference

Advanced mastery of Chapter 19, Approximate Inference, covering every named section across book pages 631-653.

0/4 lesson sections0% learned
Status
Not started
Quiz recall
0%
Duration
~90 min
Remaining
11 questions

20 - Deep Generative Models

Advanced mastery of Chapter 20, Deep Generative Models, covering every named section across book pages 654-720.

0/7 lesson sections0% learned
Status
Not started
Quiz recall
0%
Duration
~130 min
Remaining
21 questions