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Книга Shallow and Deep Learning Principles Zekâi Sen

Shallow and Deep Learning Principles

Scientific, Philosophical, and Logical Perspectives

Автор: Zekâi Sen
Език: Английски език
Корици: С меки корици
Издател: Springer, Berlin
Наличност: Външен склад
Изпращаме след 5-8 дни
179.02 € 350.14 лв
This book discusses Artificial Neural Networks (ANN) and their ability to predict outcomes using dee...

Информация за книгата

Автор
Zekâi Sen
Език
Английски език
Корици
Книга - С меки корици
Издадена
2024
страници
661
EAN
9783031295577
Enbook ID
46085779
Издател
Springer, Berlin
Теглоt
1019
Размери
155 x 235

Пълно описание

This book discusses Artificial Neural Networks (ANN) and their ability to predict outcomes using deep and shallow learning principles. The author first describes ANN implementation, consisting of at least three layers that must be established together with cells, one of which is input, the other is output, and the third is a hidden (intermediate) layer. For this, the author states, it is necessary to develop an architecture that will not model mathematical rules but only the action and response variables that control the event and the reactions that may occur within it. The book explains the reasons and necessity of each ANN model, considering the similarity to the previous methods and the philosophical - logical rules.

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