Understanding 99% of Artificial Neural Networks : Introduction & Tricks
Language: English
Published by Authorhouse Mär 2002, 2002
- Hardcover
- New
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
AbeBooks seller since August 14, 2006
Condition: New
£ 41.42
Quantity: 1 available
Add to basketItem description from seller
Neuware - There is a deep desire in men, in order to reproduce intelligence and place it in a machine. Neural Networks are an attempt to reproduce the synaptic connections of our brain in a computer. Duplicating the way we use our neurons to think in a machine, it is expected to have a device that could be able to do ¡°intelligent¡± tasks, the ones reserved just to humans some time ago. Neural Network is a reality now, not a fantasy, and they have been made in order to recognize patterns (a face, a photograph or a song, are patterns) and forecast trends. I have seen many books about this subject in my life. All of them are hard to read, and tedious to learn, so I decided to make my own one. For beginner readers, I have tried to use a simple language, in order to be understood by anyone who wants to know about nets. An easy to read, practical and concise work. If you are interested in the brain functions and how can we simulate it in a computer, you¡ ll get here a differenty to penetrate into their secrets. For advanced readers who want to make their own nets, I have included a methodology for building neural networks and complete sample computer source-code with tricks that will save you a lot of time while designing it.…
Seller Inventory # 9780595749706
- Title
- Understanding 99% of Artificial Neural Networks : Introduction & Tricks
- Author
- Marcelo Bosque
- Publisher
- Authorhouse Mär 2002
- Publication year
- 2002
- Condition
- Neu
- Binding
- Buch
- Language
- English
- ISBN 10
- 0595749704
- ISBN 13
- 9780595749706
- Item weight
- 390 grams
- Dimensions
- 235x157x13 mm
For beginner readers, I have tried to use a simple language, in order to be understood by anyone who wants to know about nets. An easy to read, practical and concise work. If you are interested in the brain functions and how can we simulate it in a computer, you¡¯ll get here a differenty to penetrate into their secrets. For advanced readers who want to make their own nets, I have included a methodology for building neural networks and complete sample computer source-code with tricks that will save you a lot of time while designing it.
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