Deep Learning Applications
M. Arif Wani, Mehmed Kantardzic, Moamar Sayed-Mouchaweh, 2020Product details
The book "Deep Learning Applications" offers a comprehensive collection of selected works from the 17th IEEE International Conference on Machine Learning and Applications (IEEE ICMLA 2018). It focuses on the application of deep learning technologies in various fields, including game development, medical applications, video analytics, regression and classification, object detection, as well as the control of robots in industrial environments. The authors present innovative approaches to utilizing deep neural networks to solve real-world problems and provide valuable insights into the underlying architectures and algorithms of deep learning. This book is an essential reference for academic researchers, professionals, industry software engineers, and developers of innovative products.
Author | M. Arif Wani, Mehmed Kantardzic, Moamar Sayed-Mouchaweh |
Book cover | Paperback |
Year | 2020 |
Item number | 56117679 |
Publisher | Springer |
Category | Reference books |
Release date | 11.3.2025 |
Author | M. Arif Wani, Mehmed Kantardzic, Moamar Sayed-Mouchaweh |
Year | 2020 |
Book cover | Paperback |
Year | 2020 |
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