Neural Networks in JavaScript with Deeplearn.js
I was going to write a cynical complaint about how it's hardly useful without GPU support... but it's using WebGL to hit the GPU. Of course. And it's probably a million times easier than trying install a TensorFlow stack locally on your desktop.
OP here: Please checkout the GitHub repository of the Neural Network in JS too [0].
Would love to see some exciting discussions around machine learning in JS. I am exploring the topic heavily at the moment and I am keen to apply/write/educate/learn more about it.
- [0] https://github.com/javascript-machine-learning/color-accessi...
If you are looking for it (like I was), here's a direct link to the deeplearn.js project: https://deeplearnjs.org/
This webcam demo with live updating visualization of the different network layers is extraordinary: https://deeplearnjs.org/demos/imagenet/
I would also recommend Synaptic.js http://caza.la/synaptic/ It's easy to get started with, very good for learning the basics of NNs very quickly.
I hope web pages don't grow to hundreds of megabytes just because they have a Neural Network embedded.
How does it compare to regular Python DL frameworks?