automl: Deep Learning with Metaheuristic

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.

Package details

AuthorAlex Boulangé [aut, cre]
MaintainerAlex Boulangé <[email protected]>
LicenseGNU General Public License
Package repositoryView on CRAN
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automl documentation built on March 16, 2019, 5:04 p.m.