This book covers various, leading-edge deep learning technologies. The author discusses new applications of deep learning and gives insight into the integration of deep learning with various application domains, such as autonomous driving, augmented reality, AIOT, 5G and beyond.
| ISBN: | 9783031357398 |
| Publication date: | 12th July 2024 |
| Author: | Khaled Salah Mohamed |
| Publisher: | Springer an imprint of Springer Nature Switzerland |
| Format: | Paperback |
| Pagination: | 205 pages |
| Series: | Synthesis Lectures on Engineering, Science, and Technology |
| Genres: |
Electronics: circuits and components Artificial intelligence Computer networking and communications |
This book covers various, leading-edge deep learning technologies. The author discusses new applications of deep learning and gives insight into the integration of deep learning with various application domains, such as autonomous driving, augmented reality, AIOT, 5G and beyond.
Deep Learning-Powered Technologies features in the following genres: Electronics: circuits and components, Artificial intelligence, Computer networking and communications
Paperback, Hardback. £44.99, down from the £49.99 cover price. Not Available.
Deep Learning-Powered Technologies was written by Khaled Salah Mohamed and published by Springer an imprint of Springer Nature Switzerland
Deep Learning-Powered Technologies has 205 pages
Yes it is part of Synthesis Lectures on Engineering, Science, and Technology series
£44.99, reduced from £49.99. Not Available.