Shallow and Deep Learning Principles : Scientific, Philosophical, and Logical Perspectives

Language: English

Published by Springer, 2023

3031295544 / 9783031295546

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Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH

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Druck auf Anfrage Neuware - Printed after ordering - 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.

Seller Inventory # 9783031295546

Title
Shallow and Deep Learning Principles : Scientific, Philosophical, and Logical Perspectives
Author
Zekâi ¿En
Publisher
Springer
Publication year
2023
Condition
Neu
Binding
Buch
Language
English
ISBN 10
3031295544
ISBN 13
9783031295546
Item weight
1,180 grams
Dimensions
241x160x42 mm

AHA-BUCH GmbH

Einbeck, Germany

5-star seller

AbeBooks seller since August 14, 2006

Shipping rates from Germany to U.S.A.

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