You might also like

More about Shallow and Deep Learning Principles

• Book details
• Synopsis
• Trending among others

You get 423 loyalty points

Book 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.

Book details

Book category Books in English Technology, engineering, agriculture Electronics & communications engineering Communications engineering / telecommunications

• Full title: Shallow and Deep Learning Principles
• Subtitle: Scientific, Philosophical, and Logical Perspectives
• Author: Zekâi Sen
• Language: English
• Binding: Paperback
• Number of pages: 661
• EAN: 9783031295577
• ID: 46085779
• Publisher: Springer, Berlin
• Weight: 1019 g
• Dimensions: 235 × 155 mm
• Published: 2024

Trending among others

---

---

---