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# jsdoでtensorflow.js その11

Last updated at Posted at 2018-10-22

# 概要

jsdoでtensorflow.jsやってみた。
keras風、高級APIを使わないで、coreとか言われるレベルでやってみた。
7segmentLED問題、やってみた。

7segmentは、以下の配置

a
f     b
g
e     c
d

# 学習

バッチ数：　10
input：　10

ユニット：　40

output: 7

ロス：　softmaxCrossEntropy
エポック数：　6000

# サンプルコード

var canvas = document.getElementById('canvas');
canvas.width = 500;
canvas.height = 200;
var out = document.getElementById('out');
var context = canvas.getContext('2d');

function draw7SegLED(properties) {
var context = properties.context;
var x = properties.x;
var y = properties.y;
var w = properties.width;
var h = properties.height;
var seg = properties.seg;
function drawHorizontal(left, top, width, height) {
var w_ = width;
var h_ = height / 2;
var x_ = left;
var y_ = top + h_;
context.moveTo(x_ , y_);
context.lineTo(x_ + 5, y_ - h_);
context.lineTo(x_ + w_ - 5, y_ - h_);
context.lineTo(x_ + w_, y_);
context.lineTo(x_ + w_ - 5, y_ + h_);
context.lineTo(x_ + 5, y_ + h_);
context.fill();
}
function drawVertical(left, top, width, height) {
var w_ = width / 2;
var h_ = height;
var x_ = left + w_;
var y_ = top;
context.moveTo(x_, y_);
context.lineTo(x_ + w_, y_ + 5);
context.lineTo(x_ + w_, y_ + h_ - 5);
context.lineTo(x_, y_ + h_);
context.lineTo(x_ - w_, y_ + h_ - 5);
context.lineTo(x_ - w_, y_ + 5);
context.fill();
}
context.moveTo(left, top);
context.arc(left, top, radius, 0, Math.PI * 2, false);
context.fill();
}
context.fillStyle = properties.backColor;
context.beginPath();
context.fillRect(x, y, w, h);
context.fillStyle = properties.fontColor;
var canvasMargin = 5;
var barMargin = 5;
var barWeight = 10;
var a = {
x: x + canvasMargin,
y: y + canvasMargin,
w: w - (canvasMargin * 2) - (barWeight / 2) - barMargin
};
var b = {
x: x + w - canvasMargin - (barMargin * 2) - (barWeight / 2),
y: y + (barMargin * 2) + canvasMargin,
h: (h / 2) - (barWeight * 2) - (canvasMargin * 2) + (barMargin * 3) - (barMargin / 2)
};
var c = {
y: y + (barMargin * 2) + (h / 2) - (barWeight * 2) + (barMargin * 3) + (barMargin / 2)
};
var e = {
x: x + canvasMargin - barMargin
};
var dp = {
x: x + w - (barWeight / 2),
y: y + h - (barWeight / 2),
};
if (seg.a) drawHorizontal(a.x, a.y, a.w, barWeight);
if (seg.b) drawVertical(b.x, b.y, barWeight, b.h);
if (seg.c) drawVertical(b.x, c.y, barWeight, b.h);
if (seg.d) drawHorizontal(a.x, y + h - canvasMargin * 2, a.w, barWeight);
if (seg.e) drawVertical(e.x, c.y, barWeight, b.h);
if (seg.f) drawVertical(e.x, y + canvasMargin + barMargin * 2, barWeight, b.h);
if (seg.g) drawHorizontal(a.x, y + h / 2 - barMargin / 2, a.w, barWeight);
}
const xt = tf.tensor2d([
[1, 0, 0, 0, 0, 0, 0, 0, 0, 0],
[0, 1, 0, 0, 0, 0, 0, 0, 0, 0],
[0, 0, 1, 0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 1, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 1, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 1, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 1, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 1, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 0, 1, 0],
[0, 0, 0, 0, 0, 0, 0, 0, 0, 1]], [10, 10]);
const yt = tf.tensor2d([
[1, 1, 0, 1, 1, 1, 1],
[1, 1, 1, 1, 1, 1, 1],
[0, 1, 0, 0, 1, 1, 1],
[1, 1, 1, 1, 1, 0, 1],
[1, 1, 0, 1, 1, 0, 1],
[1, 1, 0, 0, 1, 1, 0],
[1, 0, 0, 1, 1, 1, 1],
[1, 0, 1, 1, 0, 1, 1],
[0, 0, 0, 0, 1, 1, 0],
[0, 1, 1, 1, 1, 1, 1]], [10, 7]);
var num = 40;
const w1 = tf.variable(tf.randomNormal([10, num]));
const b1 = tf.variable(tf.randomNormal([num]));
const w2 = tf.variable(tf.randomNormal([num, num]));
const b2 = tf.variable(tf.randomNormal([num]));
const w3 = tf.variable(tf.randomNormal([num, 7]));
const b3 = tf.variable(tf.randomNormal([7]));
function func(x) {
}
function loss(pred, ypred) {
return tf.losses.softmaxCrossEntropy(pred, ypred).mean();
}
var cc;
for (let i = 0; i < 6001; i++)
{
const cost = optimizer.minimize(() => loss(func(xt), yt), true);
cc = cost;
}
var pre = func(xt);
var p = pre.dataSync();
var l = p.length / 7;
for (var i = 0; i < l; i++)
{
var a = 0;
var b = 0;
var c = 0;
var d = 0;
var e = 0;
var f = 0;
var g = 0;
if (p[i * 7 + 0] > 0.1) g = 1;
if (p[i * 7 + 1] > 0.1) f = 1;
if (p[i * 7 + 2] > 0.1) e = 1;
if (p[i * 7 + 3] > 0.1) d = 1;
if (p[i * 7 + 4] > 0.1) c = 1;
if (p[i * 7 + 5] > 0.1) b = 1;
if (p[i * 7 + 6] > 0.1) a = 1;
draw7SegLED({
context: context,
fontColor: 'rgba(255, 255, 0, 1)',
backColor: 'rgba(34, 34, 34, 1)',
x: i * 50,
y: 0,
width: 50,
height: 100,
seg: {
a: a,
b: b,
c: c,
d: d,
e: e,
f: f,
g: g,
dp: 0
}
});
}

# 成果物

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