Front matter
preface
acknowledgments
about this book
about the author
about the cover illustration
Part 1. Getting started
1 Introducing evolutionary deep learning
1.1 What is evolutionary deep learning?
Introducing evolutionary computation
1.2 The why and where of evolutionary deep learning
1.3 The need for deep learning optimization
Optimizing the network architecture
1.4 Automating optimization with automated machine learning
What is automated machine learning?
1.5 Applications of evolutionary deep learning
Model selection: Weight search
Model architecture: Architecture optimization
Hyperparameter tuning/optimization
Validation and loss function optimization
Neuroevolution of augmenting topologies