Deep Learning Architecture Search by Neuro-Cell-Based Evolution with Function-Preserving Mutations
- 23 January 2019
- book chapter
- Published by Springer Nature
- p. 243-258
Abstract
No abstract availableKeywords
This publication has 11 references indexed in Scilit:
- Evolution of neural networks2017
- A genetic programming approach to designing convolutional neural network architectures2017
- Densely Connected Convolutional Networks2017
- Xception: Deep Learning with Depthwise Separable Convolutions2017
- Deep Networks with Stochastic Depth2016
- ggtree: an r package for visualization and annotation of phylogenetic trees with their covariates and other associated dataMethods in Ecology and Evolution, 2016
- Deep Residual Learning for Image Recognition2016
- Wide Residual Networks2016
- Going deeper with convolutions2015
- Evolving Neural Networks through Augmenting TopologiesEvolutionary Computation, 2002