automl (1.2.8)

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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 2 months ago.

6 previous versions



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