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...epresentation|learning data representation]]s, as opposed to task-specific algorithms. Learning can be [[Supervised learning|supervised]], [[Semi-supervised lear ...Sutskever|first2=Ilya|last3=Hinton|first3=Geoffry|date=2012|title=ImageNet Classification with Deep Convolutional Neural Networks|url=https://www.cs.toronto.edu/~kri

...behind a neuroevolutionary sys- tem. The aim of the book is to present new algorithms, new concepts, and to pro- vide a detailed tutorial on how to develop a sta [7] Back T, Schwefel HP (1993) An Overview of Evolutionary Algorithms for Parameter Optimization. Evolutionary Computation 1, 1-23.

...eturn some fit agent. This is unlike the generational version of selection algorithms, which accept a list of summaries, neural energy cost, and population size ...We update the loop to take advantage of the now decoupled tuning selection algorithms, and the annealing and the perturbation parameters.