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Machine Learning
Mathematics
Statistics
Graphics
Data Science
Machine Learning
TensorFlow
Example 1
Example 2
JS Graphics
History
Machine Learning in JavaScript
Most Machine Learning applications uses R or Python
Artificial Intelligence and JavaScript
Machine Learning (ML) has changed the science of Artificial Intelligence (AI), image processing, computer vision, and natural language applications.
Thanks to new libraries, JavaScript developers can now build ML applications without Python or R. This way JavaScript can help developers to bring ML to the browser and to the web.
With ML libraries, JavaScript developers can add Artificial Intelligence to web applications.
Is JavaScript Good for Machine Learning?
Most Machine Learning applications these days use R or Python.
But JavaScript has a great future as an Machine Learning language, and it even has some advantages:
WebGL API
WebGL can run on both integrated and standalone graphic cards in any PC.
WebGL brings 3D graphics to the web browser. Major browser vendors Apple (Safari), Google (Chrome), Microsoft (Edge), and Mozilla (Firefox) are members of the WebGL Working Group.
WebGL 1.0 was released in March 2011.
WebGL 2.0 was released in January 2017.
Neural Networks with JavaScript
Machine Learning can be math-heavy. The nature of neural networks is highly technical, and the jargon that goes along with it tends to scare people away.
This is where JavaScript can come to help. We need easy to understand software APIs to simplifying the process of creating and training neural networks.
JavaScript Libraries
Brain.js
Introduction to ml5.js
ml5.js is trying to make machine learning more accessible to a wider audience.
The ml5 team is working to wrap machine learning functionality in friendlier ways.
The example below uses only three lines of code to classify an image:
<img id="image" src="pic1.jpg" width="100%">
<script>
const classifier = ml5.imageClassifier('MobileNet');
classifier.classify(document.getElementById("image"), gotResult);
function gotResult(error, results) { ... }
</script>
Try substitute "pic1.jpg" with "pic2.jpg" and "pic3.jpg".
TensorFlow Playground
With TensorFlow Playground you can learn about Neural Networks (NN) without math.
In your own Web Browser you can create a Neural Network and see the result.
TensorFlow.js was previously called Tf.js and Deeplearn.js.