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Discover the deep learning techniques required to build computer vision applications
Build complex computer vision applications using the latest techniques in OpenCV, Python, and NumPy
Create practical applications and implementations such as face detection and recognition, handwriting recognition, object detection, and tracking and motion analysis
Discover the deep learning techniques required to build computer vision applications
Build complex computer vision applications using the latest techniques in OpenCV, Python, and NumPy
Create practical applications and implementations such as face detection and recognition, handwriting recognition, object detection, and tracking and motion analysis
Helps readers get a jump start to computer vision implementations
Offers use-case driven implementation for computer vision with focused learning on OpenCV and Python libraries
Helps create deep learning models with CNN and RNN, and explains how these cutting-edge deep learning architectures work
Erscheinungsjahr: | 2019 |
---|---|
Genre: | Informatik |
Rubrik: | Naturwissenschaften & Technik |
Medium: | Taschenbuch |
Inhalt: |
xx
151 S. 27 s/w Illustr. 61 farbige Illustr. 151 p. 88 illus. 61 illus. in color. |
ISBN-13: | 9781484242605 |
ISBN-10: | 1484242602 |
Sprache: | Englisch |
Herstellernummer: | 978-1-4842-4260-5 |
Ausstattung / Beilage: | Paperback |
Einband: | Kartoniert / Broschiert |
Autor: | Gollapudi, Sunila |
Auflage: | First Edition |
Hersteller: |
Apress
Apress L.P. |
Maße: | 235 x 155 x 10 mm |
Von/Mit: | Sunila Gollapudi |
Erscheinungsdatum: | 27.04.2019 |
Gewicht: | 0,271 kg |
Helps readers get a jump start to computer vision implementations
Offers use-case driven implementation for computer vision with focused learning on OpenCV and Python libraries
Helps create deep learning models with CNN and RNN, and explains how these cutting-edge deep learning architectures work
Erscheinungsjahr: | 2019 |
---|---|
Genre: | Informatik |
Rubrik: | Naturwissenschaften & Technik |
Medium: | Taschenbuch |
Inhalt: |
xx
151 S. 27 s/w Illustr. 61 farbige Illustr. 151 p. 88 illus. 61 illus. in color. |
ISBN-13: | 9781484242605 |
ISBN-10: | 1484242602 |
Sprache: | Englisch |
Herstellernummer: | 978-1-4842-4260-5 |
Ausstattung / Beilage: | Paperback |
Einband: | Kartoniert / Broschiert |
Autor: | Gollapudi, Sunila |
Auflage: | First Edition |
Hersteller: |
Apress
Apress L.P. |
Maße: | 235 x 155 x 10 mm |
Von/Mit: | Sunila Gollapudi |
Erscheinungsdatum: | 27.04.2019 |
Gewicht: | 0,271 kg |