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Simple Genetic Algorithm Can Rival Stochastic Gradient Descent in Neural Nets (ucf.edu)
5 points by hardmaru on May 21, 2016 | hide | past | favorite | 1 comment



In theory it is exciting to use Evolutionary Algorithms instead of SGD but the authors only train populations of networks with under 100 neurons and about 1000 parameters, on toy problems. It would have been more interesting if they showed speedups on problems with millions of parameters.




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