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TensorFlow.js Examples

XOR vanilla neural network

Doodle Classifier

This repo is experimental and in progress. It is an "MNIST"-style classification example using the Google QuickDraw dataset, p5js, and tensorflow.js. It is loosely based on the tfjs MNIST example.

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RoadMap

  • Simplify model removing convolutional layers. The idea is for this to be a dropdead simple example that I can use to explain tensorflow.js and the layers API. I'd like to cover convolutional neural networks as a secondary example.
  • Incorporate testing data. At the moment no any validation / testing data is included during training. For clarity of the example I might like to run the testing as a separate function. What do the results mean me if I give it null data?
  • Guess user drawings in real-time.
  • Train with a much larger dataset.
  • Save model using local storage or to JSON file.
  • Bring the idea of a higher level Classifier class that wraps keras layers into ml5.

Neuro-Evolution

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Working on some new examples with tensorflow.js and p5.js

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