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Simulating Neural Networks with Mathematica

James A. Freeman




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 | #1221403 in Books |  1993-04-10 |  1993-03-31 | Original language:English | PDF # 1 |  9.00 x.90 x6.20l,1.30 | File type: PDF | 352 pages

||1 of 1 people found the following review helpful.| No experience needed, all apply|By Marc|This is a great starter for neural networks. It is both a tutorial on neural networks and you write the code as you go.

I do not think it matters which version of Mathematica you are using. No previous knowledge is required.

This book is structured so that the first few chapters introduce the concepts, and the are va|From the Back Cover||
|This book introduces neural networks, their operation, and application, in the context of the interactive Mathematica environment. Readers will learn how to simulate neural network operations using Mathematica, and will learn

This book introduces neural networks, their operation and their application, in the context of Mathematica, a mathematical programming language. Readers will learn how to simulate neural network operations using Mathematica and will learn techniques for employing Mathematics to assess neural network behaviour and performance. It shows how this popular and widely available software con be used to explore neural network technology, experiment with various architectures, de...

You easily download any file type for your device.Simulating Neural Networks with Mathematica   |  James A. Freeman.Not only was the story interesting, engaging and relatable, it also teaches lessons.

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