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Circuit Complexity and Neural Networks (Foundations of Computing)

Ian Parberry




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 | #4017638 in Books |  1994-07-27 | Original language:English | PDF # 1 |  9.10 x.90 x7.10l,1.50 | File type: PDF | 304 pages

||About the Author|Ian Parberry is Professor in the Department of Computer Science at the University of North Texas.

Neural networks usually work adequately on small problems but can run into trouble when they are scaled up to problems involving large amounts of input data. Circuit Complexity and Neural Networks addresses the important question of how well neural networks scale - that is, how fast the computation time and number of neurons grow as the problem size increases. It surveys recent research in circuit complexity (a robust branch of theoretical computer science) and applie...

You easily download any file type for your gadget.Circuit Complexity and Neural Networks (Foundations of Computing)   |  Ian Parberry.Not only was the story interesting, engaging and relatable, it also teaches lessons.

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