[PDF.85ha] Introduction to Neural Networks for C#, 2nd Edition

Introduction to Neural Networks for C#, 2nd Edition

[PDF.nb11] Introduction to Neural Networks for C#, 2nd Edition

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 | #858600 in Books |  2008-10-02 | Original language:English | PDF # 1 |  9.25 x.97 x7.50l,1.62 | File type: PDF | 428 pages

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||0 of 0 people found the following review helpful.| A very nice and easy to read introduction|By JoshK|The author did a great job. This book is simple to read and the examples are very straightforward. You don't really need much beyond basic algebra to get engaged and to learn something basic. I've read a few books on AI and they are usually from the standpoint of linear algebra, PCA, logit regressions, etc. This is from the|About the Author|Jeff Heaton, PhD, is a data scientist and indy publisher. Specializing in Python, R, Java and C#, he is an active technology blogger, open source contributor, and author of more than ten books. His areas of expertise include predictive modeling,

Introduction to Neural Networks with C#, Second Edition, introduces the C# programmer to the world of Neural Networks and Artificial Intelligence. Neural network architectures, such as the feedforward, Hopfield, and self-organizing map architectures are discussed. Training techniques, such as backpropagation, genetic algorithms and simulated annealing are also introduced. Practical examples are given for each neural network. Examples include the traveling salesman proble...

You easily download any file type for your gadget.Introduction to Neural Networks for C#, 2nd Edition   |  Jeff Heaton. A good, fresh read, highly recommended.

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