Tiny-dnn – A C++11 implementation of deep learning(github.com)

     const dotSign = (v1, v2) => v1.reduce((prev, x, i) => prev + x * v2[i], 1) > 0 ? 1 : -1

    module.exports = (data, weights = Array(data[0].content.length).fill(0)) => {
      for(const {label, content} of data) {
        const delta = (label - dotSign(content, weights)) / 2;
        weights = weights.map((x, i) => x + delta * content[i]);
      }
      return { perceive: vector => dotSign(vector, weights), weights };
    }