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Şen / Sen

Shallow and Deep Learning Principles

Scientific, Philosophical, and Logical Perspectives

Medium: Buch
ISBN: 978-3-031-29557-7
Verlag: Springer International Publishing
Erscheinungstermin: 03.06.2024
Lieferfrist: bis zu 10 Tage

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.


Produkteigenschaften


  • Artikelnummer: 9783031295577
  • Medium: Buch
  • ISBN: 978-3-031-29557-7
  • Verlag: Springer International Publishing
  • Erscheinungstermin: 03.06.2024
  • Sprache(n): Englisch
  • Auflage: 2023
  • Produktform: Kartoniert
  • Gewicht: 1019 g
  • Seiten: 661
  • Format (B x H x T): 155 x 235 x 37 mm
  • Ausgabetyp: Kein, Unbekannt
Autoren/Hrsg.

Autoren

Introduction.- Philosophical and Logical Principles in Science.- Uncertainty and Modeling Principles.- Mathematical Modeling Principles.- Genetic Algorithm.- Artificial Neural Networks.- Artificial Intelligence.- Machine Learning.- Deep Learning.- Conclusion.