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A feed-forward neural network with injectable layers, activation functions, and optimizers.
This is a feed forward neural network with injectable layers, activation functions, and optimizers.
Installation:
npm install layerganza
Example usage:
import {
Network,
InputLayer,
HiddenLayer,
OutputLayer,
Linear,
LeakyRelu,
AdamOptimizer,
shuffleTrain
} from 'layerganza'
//Create the model
let network = new Network(
[
new InputLayer(2),
new HiddenLayer(100, new LeakyRelu(), new AdamOptimizer()),
new OutputLayer(6, new Linear(), new AdamOptimizer())
],
);
//Train the model
let trainingSets = [//Outputs: [XOR, OR, AND, GreaterThan, LessThan, NotBoth]
[[0, 0], [0, 0, 0, 0, 0, 1]],
[[0, 1], [1, 1, 0, 0, 1, 0]],
[[1, 0], [1, 1, 0, 1, 0, 0]],
[[1, 1], [0, 1, 1, 0, 0, 0]],
];
shuffleTrain(network, trainingSets, 200);
//Get some output from the model
console.log('Output for input [1,1]:', network.invoke([1, 1]));
FAQs
A feed-forward neural network with injectable layers, activation functions, and optimizers.
The npm package layerganza receives a total of 11 weekly downloads. As such, layerganza popularity was classified as not popular.
We found that layerganza demonstrated a not healthy version release cadence and project activity because the last version was released a year ago. It has 1 open source maintainer collaborating on the project.
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