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.
|Author||Alex Boulangé [aut, cre]|
|Maintainer||Alex Boulangé <[email protected]>|
|License||GNU General Public License|
|Package repository||View on CRAN|
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