Neural Computing: Theory and Practice

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Author: Philip D. Wasserman

Pages: 230

Size: 3.393,87 Kb

Publication Date: June 1,1989

Category: AI & Machine Learning



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This book for non-specialists clearly explains major algorithms and demystifies the rigorous mathematics involved with neural networks. Runs on the step-by-step strategy for implementing typically used paradigms.


See also