January 2013
Intermediate to advanced
604 pages
16h 6m
English
Content preview from Soft Computing
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10
Backpropagation
Key Concepts
Backpropagation of error, Feedforward neural net, Generalized delta rule, Hidden layer, Hyperbolic tangent function, Multilayer perceptron, Nguyen-Widrow initialization, Random initialization, Sigmoid function, Steepness parameter
Chapter Outline
Backpropagation net is an important class of artificial neural nets which is used in a wide range of applications. The early enthusiasm over neural networks received a severe blow when Minsky and Papert (1969) demonstrated that perceptrons are unable to implement an elementary ...
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.