Shallow and Deep Learning Principles

Scientific, Philosophical, and Logical Perspectives

Produkt bewerten

Zekâi Şen

Verlag:

Springer Verlag

Unsere-Artikel-Nr.: NLQQNDV

EAN: 9783031295546

Erhältlich:

Nicht auf Lager

Zustellung: Mi, 29.07.2026

Versand: Kostenlos

-12.0 %

CHF 206.–

CHF 181.37

Beschreibung

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.

Spezifikationen

Sprache

Englisch

Autor

Zekâi Şen

Erscheinungsjahr

2023

Erscheinungsland

Schweiz

Format

Buch (Hardcover)

Anzahl Seiten