Deep Neural Evolution: Deep Learning with Evolutionary Computation (Hardcover, 2020)

· 제목 : Deep Neural Evolution: Deep Learning with Evolutionary Computation (Hardcover, 2020) 
· 분류 : 외국도서 > 컴퓨터 > 인공지능(AI)
· ISBN : 9789811536847
· 쪽수 : 438쪽
· 출판일 : 2020-05-21

Part I Preliminaries

Chapter 1 Evolutionary Computation and meta-heuristics

Chapter 2 A Shallow Introduction to Deep Neural Networks

Part II Hyper-parameter Optimization

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

Part III Structure Optimization

Chapter 6 Particle Swarm Optimisation 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 Classificaiton

Part IV Deep Neuroevolution

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

Part V Applications and Others

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