Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
ConvNetJS is a JavaScript library designed for training deep learning models, specifically neural networks, directly in your web browser. With just a simple tab open, you can start the training process without needing any software installations, compilers, or even GPUs—it's that hassle-free. The library enables users to create and implement neural networks using JavaScript and was initially developed by @karpathy, but it has since been enhanced through community contributions, which are greatly encouraged. For those who want a quick and easy way to access the library without delving into development, you can download the minified version via the link to convnet-min.js. Alternatively, you can opt to get the latest version from GitHub, where the file you'll likely want is build/convnet-min.js, which includes the complete library. To get started, simply create a basic index.html file in a designated folder and place build/convnet-min.js in the same directory to begin experimenting with deep learning in your browser. This approach allows anyone, regardless of their technical background, to engage with neural networks effortlessly.
Description
Meshpage.org's gameapi builder makes it easy to add 3d models to your website. You can perform initial tests with the 3d Model Viewer to see if your 3d model is compatible with our 3d engine. Then, gltf-to-html5 zip converter allows you to create a zip file that can be uncompressed on your hosting space. A 3d engine will display the 3d model once you open index.html. By adding embed tag and a link to display.html, you can place the 3d models as part of an article. The last remaining tool GameApi Builder offers 600 different features for positioning and animating the 3d model according to your preferences.
API Access
Has API
Yes
API Access
Has API
Yes
Integrations
Android
No
Chromium
No
Docker
No
Mozilla Firefox
No
Qwen3-Omni
Yes
Sketchfab
No
Ubuntu
No
WebAssembly
No
Integrations
Android
Yes
Chromium
Yes
Docker
Yes
Mozilla Firefox
Yes
Qwen3-Omni
No
Sketchfab
Yes
Ubuntu
Yes
WebAssembly
Yes
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
$120
download available for free, but licenses available separately for companies that need them
Free Trial
No
Free Version
Yes
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
No
Linux
Yes
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
ConvNetJS
Website
cs.stanford.edu/people/karpathy/convnetjs/
Vendor Details
Company Name
Meshpage.org
Founded
2012
Country
Finland
Website
meshpage.org
Product Features
Deep Learning
Convolutional Neural Networks
No
Document Classification
No
Image Segmentation
No
ML Algorithm Library
No
Model Training
No
Neural Network Modeling
No
Self-Learning
No
Visualization
No