TensorFlow.js: ML in web browsers

TensorFlow.js
"A WebGL accelerated, browser based JavaScript library for training and deploying ML models."

• Develop ML in the Browser
• Run Existing models
• Retrain Existing models

A very nice animation of neural network "learning" process.

A Neural Network Playground

References to free online bools about Machine Learning:

• introduction to neural networks: Neural Networks and Deep Learning
  by Michael Nielsen
• more technical overview: Deep Learning
  by Ian Goodfellow, Yoshua Bengio, and Aaron Courville.

podcast interview with Director of Engineering in Google working on Tensorflow:

TensorFlow Applications with Rajat Monga | Software Engineering Daily

TensorFlow – Medium

TensorFlow.js Quick Start - YouTube

Machine Learning in JavaScript (TensorFlow Dev Summit 2018) - YouTube

TensorFlow - YouTube - YouTube

example:
Teachable Machine

Porting of a complex application to web browser could be done by

1. rewriting it in JavaScript, apparently what Google has done, or
2. cross-compiling C++ binary to WebAssembly 

Here is an attempt of the second approach:

Compiling TensorFlow for the Browser – Tomas Reimers – Medium

tomasreimers/tensorflow-emscripten: @ GitHub

MXnet, another major machine learning library, used and supported by Amazon
is available cross-compiled:

dmlc/mxnet.js: MXNetJS: Javascript Package for Deep Learning in Browser (without server) @ GitHub

A predictable future: Microsoft's CNTK, a ML library similar to Tensorflow and MXnet,
will be cross-compiled to WebAssembly soon :) If whole .NET can run in the browser, so can ML tools.

Microsoft/CNTK: Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit @ GitHub