Part I PreliminariesChapter 1 Evolutionary Computation and meta-heuristics Chapter 2 A Shallow Introduction to Deep Neural NetworksPart II Hyper-parameter OptimizationChapter 3 On the Assessment of Nature-Inspired Meta-Heuristic Optimization Techniques to Fine-Tune Deep Belief NetworksChapter 4 Automated development of DNN based spoken language systems using evolutionary algorithmsChapter 5 Search heuristics for the optimization of DBN for Time Series ForecastingPart III Structure OptimizationChapter 6 Particle Swarm Optimisation for Evolving Deep Convolutional Neural Networks for Image Classification: Single- and Multi-objective ApproachesChapter 7 Designing Convolutional Neural Network Architectures Using Cartesian Genetic ProgrammingChapter 8 Fast Evolution of CNN Architecture for Image ClassificaitonPart IV Deep NeuroevolutionChapter 9 Discovering Gated Recurrent Neural Network Architectures Chapter 10 Investigating Deep Recurrent Connections and Recurrent Memory Cells Using Neuro-EvolutionChapter 11 Neuroevolution of Generative Adversarial NetworksPart V Applications and OthersChapter 12 Evolving deep neural networks for X-ray based detection of dangerous objectsChapter 13 Evolving the architecture and hyperparameters of DNNs for malware detectionChapter 14 Data Dieting in GAN TrainingChapter 15 One-Pixel Attack: Understanding and Improving Deep Neural Networks with Evolutionary Computation
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