a brain.js feed-forward layer

feed-forward.js

import {
  add,
  multiply,
  random,
  sigmoid
} from './';

export default function feedForward(settings, input) {
  const { width, height } = settings;
  const weights = random({ width, height });
  const bias = random({ width });
  return sigmoid(
    add(
      multiply(
        input,
        weights
      ),
      bias
    )
  );
}

No talk of tensors, matrices, no gpu's, though it has all that. Just sweet sweet simple math with a little programming.

This will be available soon, and usable like:

import {
  input as inputLayer,
  feedForward as FeedForwardLayer,
  output as outputLayer
} from 'brain.js/layer';

const net = new brain.FeedForward({
  inputLayer: (input) => inputLayer({ width: inputWidth }, input),
  hiddenLayers: => [
    (input) => feedForwardLayer({ width: inputWidth, height: hiddenHeight }, input)
  ],
  outputLayer: {input) => outputLayer({ width: outputWidth })
});