deeplearn.js

xholonWorkbook.xml

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Title: deeplearn.js
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My Notes
--------
January 5, 2018

deeplearn.js is "a hardware-accelerated machine intelligence library for the web"
It's a Javascript library written in typescript

use XholonDeeplearn.html
http://127.0.0.1:8888/XholonDeeplearn.html?app=deeplearn.js&src=lstr&gui=clsc
http://127.0.0.1:8888/XholonDeeplearn.html?app=8e0a3d816c4eb20142f5151d935a8cba&src=gist&gui=clsc

References
----------
(1) https://deeplearnjs.org/#getting-started

(2) http://www.typescriptlang.org/index.html

(3) https://github.com/PAIR-code/deeplearnjs
    I downloaded the source code

(4) https://deeplearnjs.org/demos/playground/index.html
    plyground

(5) https://research.googleblog.com/2016/01/teach-yourself-deep-learning-with.html
    To help make deep learning even more accessible to engineers and data scientists at large,
    we are launching a new Deep Learning Course developed in collaboration with Udacity.
    This short, intensive course provides you with all the basic tools and vocabulary to get started with deep learning,
    and walks you through how to use it to address some of the most common machine learning problems.
    It is also accompanied by interactive TensorFlow notebooks that directly mirror and implement the concepts introduced in the lectures.

(6) https://www.tensorflow.org/
    An open-source software library for Machine Intelligence
    a Python library
    TensorFlow™ is an open source software library for numerical computation using data flow graphs.
    Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them.
    The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API. 
    TensorFlow was originally developed by researchers and engineers working on the Google Brain Team within Google's Machine Intelligence research organization
    for the purposes of conducting machine learning and deep neural networks research,
    but the system is general enough to be applicable in a wide variety of other domains as well.

(7) https://github.com/tensorflow/tensorflow

(8) https://www.udacity.com/course/deep-learning--ud730
  ) https://www.udacity.com/course/machine-learning-engineer-nanodegree--nd009

(9) https://www.robinwieruch.de/neural-networks-deeplearnjs-javascript/
  ) https://github.com/javascript-machine-learning/organization-overview
  ) https://bri.im/
    Learn Machine Learning. But in JavaScript.
    BRIIM is a movement to enable JavaScript enthusiasts and web developers in machine learning. Learn about artificial intelligence and data science,
    two fields which are governed by machine learning, in JavaScript. Take it right to your browser with WebGL.
  ) https://www.robinwieruch.de/machine-learning-javascript-web-developers/
  
(10) http://ocdevel.com/podcasts/machine-learning
    Machine Learning Guide, podcasts with printed notes

(11) http://www.learningmachines101.com/
    Learning Machines 101: A Gentle Introduction to Artificial Intelligence and Machine Learning

]]></Notes> 

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