Deep Learning Applications

Deep Learning Applications

Author
M. Arif Wani (editor), Mehmed Kantardzic (editor), Moamar Sayed-Mouchaweh (editor)
Publisher
Springer
Language
English
Edition
1
Year
2020
Page
190
ISBN
9811518157,9789811518157
File Type
pdf
File Size
9.7 MiB

This book presents a compilation of selected papers from the 17th IEEE International Conference on Machine Learning and Applications (IEEE ICMLA 2018), focusing on use of deep learning technology in application like game playing, medical applications, video analytics, regression/classification, object detection/recognition and robotic control in industrial environments. It highlights novel ways of using deep neural networks to solve real-world problems, and also offers insights into deep learning architectures and algorithms, making it an essential reference guide for academic researchers, professionals, software engineers in industry, and innovative product developers.

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