A guide to convolutional neural networks for computer vision /

A guide to convolutional neural networks for computer vision /

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Computer vision has become increasingly important and effective in recent years due to its wide-ranging applications in areas as diverse as smart surveillance and monitoring, health and medicine, sports and recreation, robotics, drones, and self-driving cars. Visual recognition tasks, such as image...

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Bibliographic Details
Main Authors: Khan, Salman (Author), Khan, Salman (Salman Hameed) (Author), Bennamoun, M (Mohammed) (Author), Rahmani, Hossein (Author), Shah, Syed Afaq Ali (Author)
Format: Book
Language:English
Published: [San Rafael, California] : Morgan & Claypool, 2018
Series:Synthesis digital library of engineering and computer science
Synthesis lectures on computer vision ; #15
Synthesis lectures on computer vision ; #15
Subjects:
Computer vision > Mathematical models
Convolutions (Mathematics)
Neural networks (Computer science)
3D processing
action recognition
back-propagation
computer vision
convolution neural networks
deep learning
feed-forward networks
image classification
object detection
object tracking
perception
scene understanding
semantic segmentation
video processing
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Stanford University

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Call Number: ISIL:US-CST

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