What is ConvNetJS?
It 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.
ConvNetJS is a tool in the Javascript Utilities & Libraries category of a tech stack.
ConvNetJS is an open source tool with 10.9K GitHub stars and 2K GitHub forks. Here’s a link to ConvNetJS's open source repository on GitHub
Who uses ConvNetJS?
Developers
19 developers on StackShare have stated that they use ConvNetJS.
ConvNetJS Integrations
ConvNetJS's Features
- Formulate and solve Neural Networks in Javascript
- Training Deep Learning models (Neural Networks) entirely in your browser
- No compilers, No installations
ConvNetJS Alternatives & Comparisons
What are some alternatives to ConvNetJS?
TensorFlow
TensorFlow is an open source software library for numerical computation using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API.
jQuery
jQuery is a cross-platform JavaScript library designed to simplify the client-side scripting of HTML.
React
Lots of people use React as the V in MVC. Since React makes no assumptions about the rest of your technology stack, it's easy to try it out on a small feature in an existing project.
AngularJS
AngularJS lets you write client-side web applications as if you had a smarter browser. It lets you use good old HTML (or HAML, Jade and friends!) as your template language and lets you extend HTML’s syntax to express your application’s components clearly and succinctly. It automatically synchronizes data from your UI (view) with your JavaScript objects (model) through 2-way data binding.
Vue.js
It is a library for building interactive web interfaces. It provides data-reactive components with a simple and flexible API.
