Synopses & Reviews
Synopsis
Part I: Fundamentals and Backgrounds.- Evolutionary Computation.- Deep Neural Networks.- Part II: Evolutionary Deep Neural Architecture Search for Unsupervised DNNs.- Architecture Design for Stacked AEs and DBNs.- Architecture Design for Convolutional Auto-Encoders.- Architecture Design for Variational Auto-Encoders.- Part III: Evolutionary Deep Neural Architecture Search for Supervised DNNs.- Architecture Design for Plain CNNs.- Architecture Design for RBs and DBs Based CNNs.- Architecture Design for Skip-Connection Based CNNs.- Hybrid GA and PSO for Architecture Design.- Internet Protocol Based Architecture Design.- Differential Evolution for Architecture Design.- Architecture Design for Analyzing Hyperspectral Images.- Part IV: Recent Advances in Evolutionary Deep Neural Architecture Search.- Encoding Space Based on Directed Acyclic Graphs.- End-to-End Performance Predictors.- Deep Neural Architecture Pruning.- Deep Neural Architecture Compression.- Distribution Training Framework for Architecture Design.