Revision 6e7c09613dc72a244afffeed3cee8100b02ec326 authored by Alex Boulangé on 08 December 2018, 22:22:01 UTC, committed by cran-robot on 08 December 2018, 22:22:01 UTC
1 parent d34ca22
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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