automl (1.2.8)

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.

Maintainer: Alex Boulang
Author(s): Alex Boulang [aut, cre]

License: GNU General Public License

Uses: Does not use any package

Released 11 months ago.