Created
June 15, 2018 14:35
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A universal approximator that doesn't work properly yet.
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| const xs = []; | |
| const ys = [] | |
| let poly = null; | |
| const opt = tf.train.adam(0.001) | |
| const iter = 1 | |
| function polynomial (i, o, n) { | |
| this.i = i | |
| this.o = o | |
| this.n = n | |
| this.w = {} | |
| this.b = {} | |
| for (let p = -n; p < n; p++) { | |
| let w = tf.variable(tf.zeros([i,o]), true) | |
| let b = tf.variable(tf.zeros([o]), true) | |
| this.w[p] = w | |
| this.b[p] = b | |
| } | |
| this.predict = function (x) { | |
| result = x | |
| for (let p = -n; p < n; p++) { | |
| power = tf.pow (x, tf.scalar (p)) | |
| weight = this.w[p] | |
| mix = tf.dot (power, weight).sub(this.b[p]) | |
| result = tf.add (result, mix) | |
| } | |
| return result | |
| } | |
| } | |
| function setup() { | |
| createCanvas(400, 400); | |
| stroke(255); | |
| poly = new polynomial(1, 1, 4); | |
| } | |
| function mousePressed() { | |
| xs.push([mouseX / width,]) | |
| ys.push([mouseY / height,]) | |
| } | |
| function loss() { | |
| x = tf.tensor(xs) | |
| y = tf.tensor(ys) | |
| const prediction = poly.predict(x) | |
| return tf.sub(y, prediction).square().sum() | |
| } | |
| function draw() { | |
| background(55); | |
| strokeWeight(10); | |
| for (let i = 0; i < xs.length; i++) { | |
| let x = xs[i][0] | |
| let y = ys[i][0] | |
| point(x * width, y * height) | |
| } | |
| tf.tidy (() => { | |
| strokeWeight(4) | |
| let x = tf.linspace(0, 1, 4) | |
| let y = poly.predict(x.as2D(4, 1)).dataSync() | |
| for (let x in y) { | |
| point(int(x) * width, y[x] * height) | |
| } | |
| if (xs.length > 0) { | |
| for (let i = 0; i < iter; i++) { | |
| opt.minimize(loss) | |
| } | |
| } | |
| }) | |
| } |
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