Neural Networks in JavaScript with deeplearn.js - RWieruch

28 bookmarks. First posted by michaeltri 11 weeks ago.

A tutorial on how to implement a neural network in JavaScript with deeplearn.js to perform machine learning in JavaScript ...

deeplearning
javascript
6 weeks ago by twleung

Neural Networks in JavaScript with deeplearn.js Follow @rwieruch Follow @rwieruch A couple of my recent articles gave an introduction into a subfield of…

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8 weeks ago by joeybaker

"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." By RWieruch.

javascript
ai
9 weeks ago by hanyu

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.

Personally, I found it becomes quite complex and challenging to implement those algorithms from scratch at some point. Especially when combining JavaScript and neural networks with the implementation of forward and back propagation. Since I am learning about neural networks myself at the moment, I started to look for libraries doing the job for me. Hopefully I am able to catch up with those foundational implementations to publish them in the GitHub organization in the future. However, for now, as I researched about potential candidates to facilitate neural networks in JavaScript, I came across deeplearn.js which was recently released by Google. So I gave it a shot. In this article / tutorial, I want to share my experiences by implementing with you a neural network in JavaScript with deeplearn.js to solve a real world problem for web accessibility.

I highly recommend to take the Machine Learning course by Andrew Ng. This article will not explain the machine learning algorithms in detail, but only demonstrate their usage in JavaScript. The course on the other hand goes into detail and explains these algorithms in an amazing quality. At this point in time of writing the article, I learn about the topic myself and try to internalize my learnings by writing about them and applying them in JavaScript. If you find any parts for improvements, please reach out in the comments or create a Issue/Pull Request on GitHub.

machinelearning
ai
JavaScript
Personally, I found it becomes quite complex and challenging to implement those algorithms from scratch at some point. Especially when combining JavaScript and neural networks with the implementation of forward and back propagation. Since I am learning about neural networks myself at the moment, I started to look for libraries doing the job for me. Hopefully I am able to catch up with those foundational implementations to publish them in the GitHub organization in the future. However, for now, as I researched about potential candidates to facilitate neural networks in JavaScript, I came across deeplearn.js which was recently released by Google. So I gave it a shot. In this article / tutorial, I want to share my experiences by implementing with you a neural network in JavaScript with deeplearn.js to solve a real world problem for web accessibility.

I highly recommend to take the Machine Learning course by Andrew Ng. This article will not explain the machine learning algorithms in detail, but only demonstrate their usage in JavaScript. The course on the other hand goes into detail and explains these algorithms in an amazing quality. At this point in time of writing the article, I learn about the topic myself and try to internalize my learnings by writing about them and applying them in JavaScript. If you find any parts for improvements, please reach out in the comments or create a Issue/Pull Request on GitHub.

10 weeks ago by cnk

https://news.ycombinator.com/item?id=15855399

Goes into GPU with WebGL shaders.

javascript
deeplearning
Goes into GPU with WebGL shaders.

11 weeks ago by rrc