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Deep Learning for Vision Systems

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Deep Learning for Vision Systems

Sách keo gáy, Bìa mềm
 
Thể loại:Computers - Computer Science
 
Năm:2020
 
In lần thứ:1
 
Ngôn ngữ:english
 
Trang:475 / 480
 
 
Computer vision is central to many leading-edge innovations, including
self-driving cars, drones, augmented reality, facial recognition, and
much, much more. Amazing new computer vision applications are developed
every day, thanks to rapid advances in AI and deep learning (DL). Deep
Learning for Vision Systems teaches you the concepts and tools for
building intelligent, scalable computer vision systems that can identify
and react to objects in images, videos, and real life. With author
Mohamed Elgendy's expert instruction and illustration of real-world
projects, you’ll finally grok state-of-the-art deep learning techniques,
so you can build, contribute to, and lead in the exciting realm of
computer vision!
 
About the technology
 
How much has computer vision
advanced? One ride in a Tesla is the only answer you’ll need. Deep
learning techniques have led to exciting breakthroughs in facial
recognition, interactive simulations, and medical imaging, but nothing
beats seeing a car respond to real-world stimuli while speeding down the
highway.
 
About the book
 
How does the computer learn to understand
what it sees? Deep Learning for Vision Systems answers that by applying
deep learning to computer vision. Using only high school algebra, this
book illuminates the concepts behind visual intuition. You'll understand
how to use deep learning architectures to build vision system
applications for image generation and facial recognition.
 
 


 

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