TY  - BOOK
AU  - Şen,Zekâi
ED  - SpringerLink (Online service)
TI  - Shallow and Deep Learning Principles: Scientific, Philosophical, and Logical Perspectives 
SN  - 9783031295553
AV  - TK5101-5105.9 
U1  - 621.382 23
PY  - 2023///
CY  - Cham
PB  - Springer International Publishing, Imprint: Springer
KW  - Telecommunication
KW  - Computer science
KW  - Mathematics
KW  - Mathematical statistics
KW  - Technological innovations
KW  - Artificial intelligence
KW  - Communications Engineering, Networks
KW  - Probability and Statistics in Computer Science
KW  - Innovation and Technology Management
KW  - Artificial Intelligence
N1  - Acceso multiusuario; Introduction -- Philosophical and Logical Principles in Science -- Uncertainty and Modeling Principles -- Mathematical Modeling Principles -- Genetic Algorithm -- Artificial Neural Networks -- Artıfıcıal Intellıgence -- Machıne Learnıng -- Deep Learning -- Conclusion
N2  - 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
UR  - http://libcon.rec.uabc.mx:2048/login?url=https://doi.org/10.1007/978-3-031-29555-3
ER  -