front matter
preface
acknowledgments
about this book
about the author
about the cover illustration
Part 1. Deep learning fundamentals
1 Designing modern machine learning
1.1 A focus on adaptability
Computer vision leading the way
Beyond computer vision: NLP, NLU, structured data
1.2 The evolution in machine learning approaches
Classical AI vs. narrow AI
Next steps in computer learning
1.3 The benefits of design patterns
2 Deep neural networks
2.1 Neural network basics
Input layer
Deep neural networks
Feed-forward networks
Sequential API method
Functional API method
Input shape vs. input layer
Dense layer
Activation functions
Shorthand syntax
Improving accuracy with an optimizer
Feature detection