How Neural Networks Think

Posted by Shayaan Abdullah on 9/20/17

This blog post was originally posted by Larry Hardesty on MIT News.

Artificial-intelligence research has been transformed by machine-learning systems called neural networks, which learn how to perform tasks by analyzing huge volumes of training data.

During training, a neural net continually readjusts thousands of internal parameters until it can reliably perform some task, such as identifying objects in digital images or translating text from one language to another. But on their own, the final values of those parameters say very little about how the neural net does what it does.

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Topics: Artificial Intelligence, Neural Networks