ConvNetJS Description

ConvNetJS is a Javascript library that allows you to train deep learning models (neural network) in your browser. You can train by simply opening a tab. No software requirements, no compilers, no installations, no GPUs, no sweat. The library was originally created by @karpathy and allows you to create and solve neural networks using Javascript. The library has been greatly expanded by the community, and new contributions are welcome. If you don't want to develop, this link to convnet.min.js will allow you to download the library as a plug-and play. You can also download the latest version 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 an index.html file with no content and copy build/convnet.min.js to that folder.

Integrations

API:
Yes, ConvNetJS has an API
No Integrations at this time

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Company Details

Company:
ConvNetJS
Website:
cs.stanford.edu/people/karpathy/convnetjs/

Media

ConvNetJS Screenshot 1
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Product Details

Platforms
SaaS
Type of Training
Documentation
Customer Support
Online

ConvNetJS Features and Options

Deep Learning Software

Convolutional Neural Networks
Document Classification
Image Segmentation
ML Algorithm Library
Model Training
Neural Network Modeling
Self-Learning
Visualization