1.1 What is evolutionary deep learning?1.1.1 Introducing evolutionary computation1.2 The why and where of evolutionary deep learning1.3 The need for deep learning optimization1.3.1 Optimizing the network architecture1.4 Automating optimization with automated machine learning1.4.1 What is automated machine learning?1.5 Applications of evolutionary deep learning1.5.1 Model selection: Weight search1.5.2 Model architecture: Architecture optimization1.5.3 Hyperparameter tuning/optimization1.5.4 Validation and loss function optimization1.5.5 Neuroevolution of augmenting topologies1.5.6 GoalsSummary