An Introduction to Artificial Intelligence
Subject:   Feedback
Date:   2005-10-22 23:22:18
From:   austins
Response to: Great Intro Article

Usually neural networks are trained by measuring the error in the ouput later and using an algorithm called backpropagation to adjust connection weights to explicitly correct the error. With enough training and a solvable problem, the network will usually converge. Sometimes, though, the network gets "overtrained" and just stores the desired output, so it doesn't generalize to new problems very easily.

Neural networks are still good for some things, but there are now much better algorithms now for face recognition- the eigenfaces decomposition with support vector machines, for example, does a pretty good job. This is still a hot research area, and amazing things are being done.

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  1. Matthew Russell photo Feedback
    2005-10-23 06:16:53  Matthew Russell | O'Reilly AuthorO'Reilly Blogger [View]

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