How to use the neo-async.timesSeries function in neo-async

To help you get started, we’ve selected a few neo-async examples, based on popular ways it is used in public projects.

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github liquidcarrot / carrot / src / neuron.new.js View on Github external
let train = (times, callback) => {
  async.timesSeries(times, (n, callback) => {
    async.eachSeries(data, (d, callback) => {
      async.series([
        (callback) => activate(d.inputs, callback),
        (callback) => propagate(d.outputs, callback),
        (callback) => {
          console.log("Trained"); 
          callback()
        },
        (callback) => {
          console.log(h[0].connections.incoming[0].weight + " " + h[0].connections.incoming[1].weight + " " 
                      + h[1].connections.incoming[0].weight + " " + h[1].connections.incoming[1].weight)
//           console.log(_.last(o[0].outputs).s + " " + _.last(o[0].outputs).e + " " + _.last(o[0].outputs).d)
//           console.log(_.last(o[1].outputs).s + " " + _.last(o[1].outputs).e + " " + _.last(o[1].outputs).d)
          console.log()
          callback()
        },
github suguru03 / neo-async / perf / func-comparator / controlFlow / sample.timesSeries.js View on Github external
'neo-async_v0': function(callback) {
    neo_async_v0.timesSeries(count, iterator, callback);
  },
  'neo-async_v1': function(callback) {