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.
"synopsis" may belong to another edition of this title.
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