Neural Network in Raku.
use Neural::Net; use Neural::Net::Function; my Function $sigmoid = Sigmoid.new; my Rat @inputs = (0.5, 1.5); my Int $output-neurons = 1; my Function @hidden-functions; my Rat @hidden-neurons; my NeuralNet $neural-net = neural-net(@inpucts, $output-neurons, @hidden-neurons, @hidden-functions, $output-neuron) $neural-net.calc; my Rat @outputs = $neural-net.outputs;
The Neural::Net module provides a basic implementation of a neural network that people who are interested in ML can play around with. It is not meant for serious work, more as a proof of concept, and a starting point from where more advanced projects can begin.
Tim Van den Langenbergh (email@example.com)
Source code located at: github. Comments and pull requests are welcome.
Copyright and license
This library is free software; you can redistribute it and/or modify it under the Artistic License 2.0.