Deep Learning Applications, Volume 2 -
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This book presents selected papers from the 18th IEEE International Conference on Machine Learning and Applications (IEEE ICMLA 2019). It focuses on deep learning networks and their application in domains such as healthcare, security and threat detection, fault diagnosis and accident analysis, and robotic control in industrial environments, and highlights novel ways of using deep neural networks to solve re ... Pilns apraksts
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Aprašymas
This book presents selected papers from the 18th IEEE International Conference on Machine Learning and Applications (IEEE ICMLA 2019). It focuses on deep learning networks and their application in domains such as healthcare, security and threat detection, fault diagnosis and accident analysis, and robotic control in industrial environments, and highlights novel ways of using deep neural networks to solve real-world problems. Also offering insights into deep learning architectures and algorithms, it is an essential reference guide for academic researchers, professionals, software engineers in industry, and innovative product developers.
Vairāk informācijas
| Izdevējs | Springer Nature Singapore |
|---|---|
| Series | Advances in Intelligent Systems and Computing |
| Izlaides gads | 2021 |
| Vāka tips | Mīkstais vāks |
| EAN | 9789811567612 |