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The Essence of Neural Networks By Robert Callan

The Essence of Neural Networks
by Robert Callan

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The aim of this work is to cover the basic concepts, with the key neural network models explored sufficiently deeply to allow a competent programmer to implement the networks in a language of their choice. The book is supported by a website.
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The Essence of Neural Networks Summary


The Essence of Neural Networks by Robert Callan

The Essence of Neural Networks is designed to be a first course on neural networks for undergraduate students, with the mathematics contained to a minimum. The book's main aim is to cover the basic concepts, with the key neural network models explored sufficiently deeply to allow a competent programmer to implement the networks in a language of their choice.

The first six chapters cover the main neural models that are essential for a fundamental grounding in the subject, and the last two chapters are devoted to an overview of some of the links being developed between neural networks and traditional AI.

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Table of Contents


  1. Introduction
  2. Classifying Patterns
  3. Clustering Patterns
  4. Pattern Association
  5. A Sample of Recurrent Networks
  6. Some Other Network Models and A Few Practical Points
  7. Links to Artificial Intelligence
  8. Synthesising Symbols with Neural Networks

Additional information

GOR010423745
The Essence of Neural Networks by Robert Callan
Robert Callan
Essence of Computing
Used - Like New
Paperback
Pearson Education (US)
1998-09-22
248
013908732X
9780139087325
N/A
Book picture is for illustrative purposes only, actual binding, cover or edition may vary.
The book has been read, but looks new. The book cover has no visible wear, and the dust jacket is included if applicable. No missing or damaged pages, no tears, possible very minimal creasing, no underlining or highlighting of text, and no writing in the margins.