Deep Belief in Javascript

Deep Belief in Javascript

From the webpage:

It’s an implementation of the Krizhevsky convolutional neural network architecture for object recognition in images, running entirely in the browser using Javascript and WebGL!

I built it so people can easily experiment with a classic deep belief approach to image recognition themselves, to understand both its limitations and its power, and to demonstrate that the algorithms are usable even in very restricted client-side environments like web browsers.

A very impressive demonstration of the power of Javascript to say nothing of neural networks.

You can submit your own images for “recognition.”

I first saw this in Nat Torkington’s Four short links: 24 March 2014.

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