Poonkuntran S Object Detection with Deep Learning Models 2023
Category: eBooks
- views: 463
- date: 11 September 2022
- posted by: BeMyLove
Poonkuntran S Object Detection with Deep Learning Models 2023 | 35.46 MB
English | 276 Pages
Title: Object Detection with Deep Learning Models; Principles and Applications
Author: Edited by S. Poonkuntran
Year: 2022
Description:
Object Detection with Deep Learning Models 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.
Features:
DOWNLOAD:
https://rapidgator.net/file/4a91e8b7a0e39b6076b4400fb43d54ac/Poonkuntran_S._Object_Detection_with_Deep_Learning_Models_2023.rar
https://uploadgig.com/file/download/672fdDd3d893E081/Poonkuntran_S._Object_Detection_with_Deep_Learning_Models_2023.rar
Object Detection with Deep Learning Models 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.
Features:
- A structured overview of deep learning in object detection.
- A diversified collection of applications of object detection using deep neural networks.
- Emphasize agriculture and remote sensing domains.
- Exclusive discussion on moving object detection.
DOWNLOAD:
https://rapidgator.net/file/4a91e8b7a0e39b6076b4400fb43d54ac/Poonkuntran_S._Object_Detection_with_Deep_Learning_Models_2023.rar
https://uploadgig.com/file/download/672fdDd3d893E081/Poonkuntran_S._Object_Detection_with_Deep_Learning_Models_2023.rar
We need your support!
Make a donation to help us stay online
Bitcoin (BTC)
bc1q08g9d22cxkawsjlf8etuek2pc9n2a3hs4cdrld
Bitcoin Cash (BCH)
qqvwexzhvgauxq2apgc4j0ewvcak6hh6lsnzmvtkem
Ethereum (ETH)
0xb55513D2c91A6e3c497621644ec99e206CDaf239
Litecoin (LTC)
ltc1qt6g2trfv9tjs4qj68sqc4uf0ukvc9jpnsyt59u
USDT (ERC20)
0xb55513D2c91A6e3c497621644ec99e206CDaf239
USDT (TRC20)
TYdPNrz7v1P9riWBWZ317oBgJueheGjATm
Information |
|||
 |
Users of GUESTS are not allowed to comment this publication. | ||