Many cutting-edge technologies, such as drones, augmented reality, facial recognition, self-driving cars, and much more, rely heavily on computer vision. Rapid advancements in deep learning (DL) and artificial intelligence (AI) are enabling the development of incredible new computer vision applications every day. The principles and resources for creating intelligent, scalable computer vision systems that can recognize and respond to objects in pictures, videos, and real life are taught in Deep Learning for Vision Systems. You’ll finally grasp cutting-edge deep learning techniques with author Mohamed Elgendy’s knowledgeable guidance and examples of actual projects, enabling you to create, contribute to, and take the lead in the fascinating field of computer vision!
Deep Learning for Vision Systems 1st Edition ISBN: 9781617296192
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Additional information
| Edition | 1st Edition |
|---|---|
| Format | Paperback |
| Pages | 480 pages |
| Item Weight | 1.7 pounds |
| Dimensions | 7.38 x 1.2 x 9.25 inches |
| ISBN-10 | 1617296198 |
| ISBN-13 | 978-1617296192 |
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