Shallow and Deep Learning Principles is popular PDF and ePub book, written by Zekâi Şen in 2023, it is a fantastic choice for those who relish reading online the Uncategoriezed genre. Let's immerse ourselves in this engaging Uncategoriezed book by exploring the summary and details provided below. Remember, Shallow and Deep Learning Principles can be Read Online from any device for your convenience.
Shallow and Deep Learning Principles Book PDF Summary
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.
Detail Book of Shallow and Deep Learning Principles PDF
- Author : Zekâi Şen
- Release : 02 June 2024
- Publisher : Unknown
- ISBN : 3031295579
- Genre : Uncategoriezed
- Total Page : 0 pages
- Language : English
- PDF File Size : 13,8 Mb
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