Simple Evolutionary Optimization Can Rival Stochastic Gradient Descent in Neural Networks
Author:
Affiliation:
1. University of Central Florida, Orlando, FL, USA
Funder
National Science Foundation
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/2908812.2908916
Reference53 articles.
1. D. Almeida and N. Sauder. GradNets: Dynamic interpolation between neural architectures. ArXiv e-prints abs/1511.06827 2015. D. Almeida and N. Sauder. GradNets: Dynamic interpolation between neural architectures. ArXiv e-prints abs/1511.06827 2015.
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