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Neural Computing: Theory and Practice

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This book for nonspecialists clearly explains major algorithms and demystifies the rigorous math involved in neural networks. Uses a step-by-step approach for implementing commonly used paradigms.

230 pages, Hardcover

First published June 1, 1989

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About the author

Philip D. Wasserman

3 books1 follower

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