Strings?

Hey Would like to know if the inputs objects support text strings.

I did something like this

var brain = require('brain.js')
var net = new brain.NeuralNetwork();

net.train([
           {input: "my unit-tests failed.", output: "software"},
           {input: "tried the program, but it was buggy.", output: "software"},
           {input: "i need a new power supply.", output: "hardware"},
           {input: "the drive has a 2TB capacity.", output: "hardware"}
         ]);

It outputs { error: NaN, iterations: 1 }

One of the comments says that rnn supports them, so is it only available for it or other models can also make use of strings?

[robertleeplummerjr]

A recurrent neural net in some form is probably the way to go here, the reason being is that their whole design is based on a varying length input, where as a traditional neural net generally has a defined sized input. There are ways around this, of course, but are essentially hacky, like: a maximum length input, normalize all characters, and the rest where doesn’t take up the rest of the input, set to 0… But don’t do that, too icky.

Try this:

var brain = require('brain.js')
var net = new brain.recurrent.LSTM();
net.train([
  {input: "my unit-tests failed.", output: "software"},
  {input: "tried the program, but it was buggy.", output: "software"},
  {input: "i need a new power supply.", output: "hardware"},
  {input: "the drive has a 2TB capacity.", output: "hardware"},
  //added for less overfitting
  {input: "unit-tests", output: "software"},
  {input: "program", output: "software"},
  {input: "power supply", output: "hardware"},
  {input: "drive", output: "hardware"},
]);

console.log(net.run("drive"));

Try this with a bunch of data, to avoid overfitting, and see what happens.

It, working (careful, it takes time to train, we are working to make that way way way faster): https://jsfiddle.net/g1poj29x/

[robertleeplummerjr]

Also, fantastic work!