Deep Learning Applications, Volume 2
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Beschreibung
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.
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.
Describes novel ways of using deep learning architectures for real-world applications Discusses novel algorithms for deep learning networks Serves as a reference resource for researchers and practitioners in academia and industry
Autor*in
M. Arif Wani
Themen in »Deep Learning Applications, Volume 2«
Deep Learning Architectures Deep Learning Algorithms Deep Learning Models Convolutional Neural Networks Recurrent Neural Networks