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April 20, 2017

The Dark Secret at the Heart of AI

You can’t just look inside a deep neural network to see how it works.
A network’s reasoning is embedded in the behavior of thousands of simulated neurons, arranged into dozens or even hundreds of intricately interconnected layers. The neurons in the first layer each receive an input, like the intensity of a pixel in an image, and then perform a calculation before outputting a new signal. These outputs are fed, in a complex web, to the neurons in the next layer, and so on, until an overall output is produced. Plus, there is a process known as back-propagation that tweaks the calculations of individual neurons in a way that lets the network learn to produce a desired output. - - MIT Technology Review

Posted by gerardvanderleun at April 20, 2017 2:58 PM. This is an entry on the sideblog of American Digest: Check it out.

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