Shallow and Deep Learning Principles: Scientific, Philosophical, and Logical Perspectives (1st ed. 2023)
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- Synopsis
- 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.
- Copyright:
- 2023
Book Details
- Book Quality:
- Publisher Quality
- ISBN-13:
- 9783031295553
- Related ISBNs:
- 9783031295546
- Publisher:
- Springer International Publishing
- Date of Addition:
- 07/03/23
- Copyrighted By:
- The Editor
- Adult content:
- No
- Language:
- English
- Has Image Descriptions:
- No
- Categories:
- Nonfiction, Computers and Internet, Business and Finance, Technology, Mathematics and Statistics, Communication
- Submitted By:
- Bookshare Staff
- Usage Restrictions:
- This is a copyrighted book.
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- by Zekâi Şen
- in Nonfiction
- in Computers and Internet
- in Business and Finance
- in Technology
- in Mathematics and Statistics
- in Communication