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Neural Networks in JavaScript with Deeplearn.js

December 5, 2017

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A couple of my recent articles gave an introduction into a subfield of artificial intelligence by implementing foundational machine learning algorithms in JavaScript (e.g. linear regression with gradient descent, linear regression with normal equation or logistic regression with gradient descent). These machine learning algorithms were implemented from scratch in JavaScript by using the math.js node package for linear algebra (e.g. matrix operations) and calculus. You can find all of these machine learning algorithms grouped in a GitHub organization. If you find any flaws in them, please help me out to make the organization a great learning resource for others. I intend to grow the amount of repositories showcasing different machine learning algorithms to provide web developers a starting point when they enter the domain of machine learning.

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