Shallow and Deep Learning Principles

Scientific, Philosophical, and Logical Perspectives

Häftad, Engelska, 2024

Av Zekâi Şen, Zekai Sen, Zekâi Şen, Zekâi ¿En

2 829 kr

Beställningsvara. Skickas inom 5-8 vardagar
Fri frakt för medlemmar vid köp för minst 249 kr.

Finns i fler format (1)


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.

Produktinformation