Deep learning applications M. Arif Wani, Mehmed Kantardzic, Moamar Sayed-Mouchaweh, editor.
"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...
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| Other Authors: | , , |
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| Format: | Ebook |
| Language: | English |
| Published: |
Singapore :
Springer,
2020.
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| Series: | Advances in intelligent systems and computing ;
1098. |
| Subjects: | |
| Online Access: | Springer eBooks |
| Summary: | "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."--Publisher's website. |
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| Item Description: | Description based upon print version of record. Includes author index. |
| Physical Description: | 1 online resource (184 p.). |
| ISBN: | 9789811518157 9789811518164 9811518165 |