Netsaur neural network deno module using neo Maintainers Loading (@load1n9) CarrotzRule (@carrotzrule123) Usage import { NeuralNetwork } from "https://deno.land/x/netsaur/mod.ts"; const net = await new NeuralNetwork({ hidden: [ { size: 2, activation: "sigmoid" }, ], cost: "crossentropy", output: { size: 1, activation: "sigmoid" }, input: { type: "f32", }, }).setupBackend(false); net.train( [ { inputs: [0, 0], outputs: [0] }, { inputs: [1, 0], outputs: [1] }, { inputs: [0, 1], outputs: [1] }, { inputs: [1, 1], outputs: [0] }, ], 1000, 1, 0.1, ); console.log(net.predict(new Float32Array([0, 0]))); console.log(net.predict(new Float32Array([1, 0]))); console.log(net.predict(new Float32Array([0, 1]))); console.log(net.predict(new Float32Array([1, 1])));