Tensorflow-JS-Examples
Tensorflow-JS-Examples copied to clipboard
Working on some new examples with tensorflow.js and p5.js
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.
Reference
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
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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.