Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Shallow and Deep Learning Principles: Scientific, Philosophical, and Logical Perspectives

Shallow and Deep Learning Principles: Scientific, Philosophical, and Logical Perspectives

Şen, Zekâi

Hardcover

ManagementTechnology & EngineeringApplications

ISBN10: 3031295544
ISBN13: 9783031295546
Publisher: Springer Nature
Published: Jun 2 2023
Pages: 661
Weight: 2.48
Height: 1.44 Width: 6.14 Depth: 9.21
Language: English
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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