102 lines
2.4 KiB
JavaScript
102 lines
2.4 KiB
JavaScript
import { assert, assertEquals } from "https://deno.land/std@0.102.0/testing/asserts.ts";
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import { Label, Forward, Backward } from "./nn.ts";
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import { default as M } from "./m.ts";
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import { default as Methods } from "./m.ts";
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let training = [];
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let stages = [];
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let layers = [];
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let typeA = [
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[ 0.1, 0.05],
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[ 0.0, -0.06]
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];
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let typeB = [
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[ 0.99, 0.85],
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[ 1.2, 1.05]
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];
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Deno.test("check.forward", ()=>
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{
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let matrix1 = [
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[-0.43662948305036675, -0.368590640707799, -0.23227179558890843],
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[-0.004292653969505622, 0.38670055222186317, -0.2478421495365568],
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[0.738181366836224, 0.3389203747353555, 0.4920200816404332]
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];
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let matrix2 = [
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[0.7098703863463034, 0.35485944251238033, 0.7642849892333241, 0.03046174288491077],
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[-0.30655426258144347, 0.45509633551425077, -0.5013795222004322, -0.3421292736637427]
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];
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let input = [
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[ 0.1, 0.05],
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[ 0.0, -0.06],
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[ 0.99, 0.85],
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[ 1.2, 1.05]
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];
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let output = [
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[1, 0],
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[1, 0],
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[0, 1],
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[0, 1]
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];
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let layers = [matrix1, matrix2];
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console.log("BEFORE", layers);
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for(let i=0; i<100; i++)
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{
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let stages = Forward(Methods.Mutate.Pad(input), layers);
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Backward(stages, layers, output, 0.1);
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}
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console.log("AFTER", layers);
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});
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/*
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Deno.test("NN.Label", ()=>
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{
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Label(training, typeA, [1, 0]);
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Label(training, typeB, [0, 1]);
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assertEquals(training.length, 2, "input and output sets created");
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assertEquals(training[0].length, training[1].length, "both sets have same length");
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assertEquals(training[0][0].length, 3, "padded input component");
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assertEquals(training[1][0].length, 2, "unchanged label vector");
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});
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Deno.test("NN.Forward", ()=>
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{
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let layer1 = M.Create.Box([-1, -1, -1], [1, 1, 1], 2);
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let layer2 = M.Create.Box([-1, -1, -1], [1, 1, 1], 1);
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layers.push(layer1);
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layers.push(layer2);
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console.log(training[0]);
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stages = Forward(training[0], layers);
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console.log(stages);
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});
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Deno.test("NN.Backward", ()=>
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{
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let copy1 = M.Create.Clone(layers[0]);
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let copy2 = M.Create.Clone(layers[1]);
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for(let i=0; i<100; i++)
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{
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Backward(stages, layers, training[1], 0.1);
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}
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assert(layers[0][0][0] != copy1[0][0], "first matrix has changed");
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assert(layers[1][0][0] != copy2[0][0], "second matrix has changed");
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});
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Deno.test("NN.Label", ()=>
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{
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let stages = Forward(training[0], layers);
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console.log(stages[stages.length-1]);
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});
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*/ |