Brain.js supports several networks such as feed-forward networks, recurrent neural networks, Ellman networks, and long short-term memory networks.
ML5.js is one of the most popular and widely used machine learning frameworks running on TensorFlow.js. It can handle GPU accelerated mathematical operations and provide memory management for machine learning algorithms. ML5.js gives good performance by using TensorFlow.js internally as it provides an intuitive interface to developers. Users get access in the browser to pre-trained models for detecting human poses, image styling, pitch detection, and even music composition.
DeepForge is not just a framework but also a user-friendly development environment for deep learning. With DeepForge, users can design neural networks with simple graphical interfaces. It also supports training models on remote machines and has a built-in control. DeepForge is based on Node.js and MongoDB, and its installation process is very similar to most web devs.
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I am a journalist with a postgraduate degree in computer network engineering. When not reading or writing, one can find me doodling away to my heart’s content.