[PDF.47pa] Introduction to Neural Networks for Java, 2nd Edition

Introduction to Neural Networks for Java, 2nd Edition

[PDF.ph23] Introduction to Neural Networks for Java, 2nd Edition

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 | #474963 in Books |  2008-10-01 | Original language:English | PDF # 1 |  9.25 x1.00 x7.50l,1.65 | File type: PDF | 440 pages

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||9 of 9 people found the following review helpful.| software + insights|By Charles E. Knadler Jr.|The usefulness of this book depends on your purpose. If your primary purpose is to acquire a running start solving AI problems using the author's software this is a useful book. If you want to study neural networks or to develop java programming skills, this is probably the wrong book for you. The author gives good introductions|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 Java, Second Edition, introduces the Java 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 pr...

You can specify the type of files you want, for your gadget.Introduction to Neural Networks for Java, 2nd Edition   |  Jeff Heaton.Not only was the story interesting, engaging and relatable, it also teaches lessons.

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