Deep Learning in Object Detection and Recognition

Deep Learning in Object Detection and Recognition

English | ISBN: 9811051518 | 2019 | 224 Pages | EPUB, PDF | 34 MB

This book discusses recent advances in object detection and recognition using deep learning methods, which have achieved great success in the field of computer vision and image processing. It provides a systematic and methodical overview of the latest developments in deep learning theory and its applications to computer vision, illustrating them using key topics, including object detection, face analysis, 3D object recognition, and image retrieval.
The book offers a rich blend of theory and practice. It is suitable for students, researchers and practitioners interested in deep learning, computer vision and beyond and can also be used as a reference book. The comprehensive comparison of various deep-learning applications helps readers with a basic understanding of machine learning and calculus grasp the theories and inspires applications in other computer vision tasks.


[Fast Download] Deep Learning in Object Detection and Recognition

Related eBooks:
Algorithms for Sensor Systems: 15th International Symposium on Algorithms and Experiments for Wirele
Jumpstarting JavaScript: Build a Twitter Bot and LED Alert System Using Node.js and Raspberry Pi
Install Your Own Solar Panels: Designing and Installing a Photovoltaic System to Power Your Home
Best of Make: 65 Projects and Skill Builders from the Pages of Make
Jumpstarting the Raspberry Pi Zero W: Control the World Around You with a $10 Computer
The Computer after Me: Awareness and Self-Awareness in Autonomic Systems
Coverbal Synchrony in Human-Machine Interaction
Traffic Secrets That The Guru's Won't Tell You
Theoretical Aspects of Computing
Head First SQL: Your Brain on SQL -- A Learner's Guide
Regulation and the Evolution of the Global Telecommunications Industry
Copyright Disclaimer:
This site does not store any files on its server. We only index and link to content provided by other sites. Please contact the content providers to delete copyright contents if any and email us, we'll remove relevant links or contents immediately.