DanRuta/jsNet
Javascript/WebAssembly deep learning library for MLPs and convolutional neural networks
This is a deep learning library designed for developers who want to build and deploy neural networks directly within web browsers or Node.js environments. It takes raw data, images, or other inputs and processes them through custom-built neural network architectures, outputting predictions or classifications. Developers, particularly those working on interactive web applications or server-side JavaScript projects, are the primary users.
142 stars. No commits in the last 6 months. Available on npm.
Use this if you are a JavaScript developer looking to integrate deep learning models, specifically multi-layer perceptrons or convolutional neural networks, directly into your browser-based applications or Node.js backend services.
Not ideal if you are looking for a high-level, drag-and-drop machine learning platform, or if your primary development environment is not JavaScript.
Stars
142
Forks
18
Language
JavaScript
License
MIT
Category
Last pushed
May 04, 2018
Commits (30d)
0
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