Deep Neural Evolution

Chapter 1 Evolutionary Computation and Meta-heuristics

Chapter 2 A Shallow Introduction to Deep Neural Networks

Chapter 3 On the Assessment of Nature-Inspired Meta-Heuristic Optimization Techniques to Fine-Tune Deep Belief Networks

Chapter 4 Automated Development of DNN Based Spoken Language Systems Using Evolutionary Algorithms

Chapter 5 Search Heuristics for the Optimization of DBN for Time Series Forecasting

Chapter 6 Particle Swarm Optimization for Evolving Deep Convolutional Neural Networks for Image Classification: Single- and Multi-Objective Approaches

Chapter 7 Designing Convolutional Neural Network Architectures Using Cartesian Genetic Programming

Chapter 8 Fast Evolution of CNN Architecture for Image Classification

Chapter 9 Discovering Gated Recurrent Neural Network Architectures

Chapter 10 Investigating Deep Recurrent Connections and Recurrent Memory Cells Using Neuro-Evolution

Chapter 11 Neuroevolution of Generative Adversarial Networks

Chapter 12 Evolving Deep Neural Networks for X-ray Based Detection of Dangerous Objects

Chapter 13 Evolving the Architecture and Hyperparameters of DNNs for Malware Detection

Chapter 14 Data Dieting in GAN Training

Chapter 15 One-Pixel Attack: Understanding and Improving Deep Neural Networks with Evolutionary Computation