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Kniha Shallow and Deep Learning Principles Zekâi Sen

Shallow and Deep Learning Principles

Scientific, Philosophical, and Logical Perspectives

Autor: Zekâi Sen
Jazyk: Angličtina
Vazba: Brožovaná
Vydavatel: Springer, Berlin
Dostupnost: Skladem u dodavatele
Odesíláme za 5-8 dnů
3 882 Kč
This book discusses Artificial Neural Networks (ANN) and their ability to predict outcomes using dee...

Informace o knize

Autor
Zekâi Sen
Jazyk
Angličtina
Vazba
Kniha - Brožovaná
Vydáno
2024
Stránek
661
EAN
9783031295577
Enbook ID
46085779
Vydavatel
Springer, Berlin
Hmotnost
1019
Rozměry
155 x 235

Kompletní popis

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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