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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
Neurons are the basic unit of the neural network. They can be connected to another neuron or gate connections between other neurons. This allows you to create complex and flexible architectures. Trainers can take any given network regardless of its architecture and use any training set. It includes built-in tasks to test networks, like learning an XOR, completing a Discrete Sequence Recall task or an Embeded Reber Grammar test. Networks can be imported/exported to JSON, converted to workers or standalone functions. They can be connected to other networks or gate connections. The Architect includes built-in useful architectures such as multilayer perceptrons, multilayer long short-term memory networks (LSTM), liquid state machines and Hopfield networks. Networks can also be optimized, extended, exported to JSON, converted to Workers or standalone Functions, and cloned. A network can project a connection to another, or gate a connection between two others networks.
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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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 an architecture-free neural network library for node.js and the browser
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Support
Phone Support
24/7 Live Support
Online
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Support
Phone Support
24/7 Live Support
Online
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API
Offers API
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API
Offers API
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Screenshots and Videos |
Screenshots and Videos |
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Pricing
No information available.
Free Version
Free Trial
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Pricing
No information available.
Free Version
Free Trial
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Reviews/
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Reviews/
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Training
Documentation
Webinars
Live Online
In Person
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Training
Documentation
Webinars
Live Online
In Person
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Company InformationConvNetJS
cs.stanford.edu/people/karpathy/convnetjs/
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Company InformationSynaptic
caza.la/synaptic/#/
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Categories |
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Integrations
Qwen3-Omni
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