+
+

Related Products

  • Qloo
    23 Ratings
    Visit Website
  • Nutrient SDK
    111 Ratings
    Visit Website
  • DXcharts
    28 Ratings
    Visit Website
  • Apify
    1,441 Ratings
    Visit Website
  • pCloud Business
    188 Ratings
    Visit Website
  • SDS Manager
    4 Ratings
    Visit Website
  • Highcharts
    123 Ratings
    Visit Website
  • Fraud.net
    56 Ratings
    Visit Website
  • Gemini Enterprise Agent Platform
    985 Ratings
    Visit Website
  • Nasdaq Metrio
    14 Ratings
    Visit Website

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.

About

Fido is a light-weight, open-source, and highly modular C++ machine learning library. The library is targeted towards embedded electronics and robotics. Fido includes implementations of trainable neural networks, reinforcement learning methods, genetic algorithms, and a full-fledged robotic simulator. Fido also comes packaged with a human-trainable robot control system as described in Truell and Gruenstein. While the simulator is not in the most recent release, it can be found for experimentation on the simulator branch.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Developers, professionals and researchers seeking a solution for training deep learning models

Audience

Individuals seeking an open source C++ machine learning library

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version
Free Trial

Pricing

No information available.
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

ConvNetJS
cs.stanford.edu/people/karpathy/convnetjs/

Company Information

Fido
fidoproject.github.io

Alternatives

Alternatives

RoboCell

RoboCell

Intelitek
Fuzzy Studio

Fuzzy Studio

Fuzzy Logic Robotics
Deci

Deci

Deci AI
MotoSim

MotoSim

Yaskawa Motoman

Categories

Categories

Integrations

OpenOTP Security Suite
Qwen3-Omni

Integrations

OpenOTP Security Suite
Qwen3-Omni
Claim ConvNetJS and update features and information
Claim ConvNetJS and update features and information
Claim Fido and update features and information
Claim Fido and update features and information