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
Raw File
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)
back to top