Revision 4d5fc11e4e2ea148095192026020a83f8f39346c authored by Alex Boulangé on 15 December 2019, 19:50:03 UTC, committed by cran-robot on 15 December 2019, 19:50:03 UTC
1 parent dafc26a
README.md
automl package fits from simple regression to highly customizable deep neural networks
either with gradient descent or metaheuristic, using automatic hyper parameters
tuning and custom cost function.
A mix inspired by the common tricks on Deep Learning and Particle Swarm Optimization.
(Key words: autoML, Deep Learning, Particle Swarm Optimization, learning rate, minibatch,
batch normalization, lambda, RMSprop, momentum, adam optimization, learning rate decay,
inverted dropout, particles number, kappa, regression, logistic regression)
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