Shallow and Deep Learning Principles : Scientific, Philosophical, and Logical Perspectives
2023 ed.
by
Zekai Sen
Book Details
Format
Paperback / Softback
ISBN-10
3031295579
ISBN-13
9783031295577
Edition
2023 ed.
Publisher
Springer International Publishing AG
Imprint
Springer International Publishing AG
Country of Manufacture
GB
Country of Publication
GB
Publication Date
Jun 3rd, 2024
Print length
661 Pages
Ksh 27,000.00
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This book discusses Artificial Neural Networks (ANN) and their ability to predict outcomes using deep and shallow learning principles.
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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