Related Products
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About
ConvNetJS is a Javascript library for training deep learning models (neural networks) entirely in your browser. Open a tab and you're training. No software requirements, no compilers, no installations, no GPUs, no sweat. The library allows you to formulate and solve neural networks in Javascript, and was originally written by @karpathy. However, the library has since been extended by contributions from the community and more are warmly welcome. The fastest way to obtain the library in a plug-and-play way if you don't care about developing is through this link to convnet-min.js, which contains the minified library. Alternatively, you can also choose to download the latest release of the library from Github. The file you are probably most interested in is build/convnet-min.js, which contains the entire library. To use it, create a bare-bones index.html file in some folder and copy build/convnet-min.js to the same folder.
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About
From v1.0.0, the library is rewritten in Typescript and ES6 completely. The giant and old jQuery plugin doesn't exist anymore. With the new plugin-based architecture, the library has really small core. Everything else is built around as a plugin. Each file in the dist/css and dist/js folders has two versions: the normal code in the .css, .js files, and the minified code in the .min.css, .min.js files. In order to reduce the page loading time and enhance the user experience when visiting your site, you should use the .min.css, .min.js files in the production website. Meanwhile, in the development mode, you should use the normal files without .min part to debug the code more easy.
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Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Platforms Supported
Windows
Supported
Mac
Supported
Linux
Supported
Cloud
Not Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Audience
Developers, professionals and researchers seeking a solution for training deep learning models
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Audience
Developers looking for a validation library for JavaScript
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Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Supported
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Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Supported
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API
Offers API
Supported
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API
Offers API
Supported
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Screenshots and Videos |
Screenshots and Videos |
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Pricing
No information available.
Free Version
Not Supported
Free Trial
Not Supported
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Pricing
$50 one-time payment
Free Version
Not Supported
Free Trial
Not Supported
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Reviews/
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Reviews/
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Training
Documentation
Supported
Webinars
Not Supported
Live Online
Not Supported
In Person
Not Supported
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Training
Documentation
Supported
Webinars
Not Supported
Live Online
Not Supported
In Person
Not Supported
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Company InformationConvNetJS
cs.stanford.edu/people/karpathy/convnetjs/
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Company InformationFormValidation
formvalidation.io
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Alternatives |
Alternatives |
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Categories |
Categories |
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Integrations
Bootstrap
Not Supported
CSS
Not Supported
CakePHP
Not Supported
Google Chrome
Not Supported
JavaScript
Not Supported
Mozilla Firefox
Not Supported
Qwen3-Omni
Supported
Ruby on Rails
Not Supported
Spring Framework
Not Supported
Stripe
Not Supported
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Integrations
Bootstrap
Supported
CSS
Supported
CakePHP
Supported
Google Chrome
Supported
JavaScript
Supported
Mozilla Firefox
Supported
Qwen3-Omni
Not Supported
Ruby on Rails
Supported
Spring Framework
Supported
Stripe
Supported
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