Deep Learning in Mining of Visual Content - SpringerBriefs in Computer Science (Paperback)Akka Zemmari (author), Jenny Benois-Pineau (author)
- Temporarily unavailable
Stay one step ahead and let us notify you when this item is next available to order
We will contact you when this item is next available to order.
Deep Learning is currently at the heart of most cutting edge technologies. It is in the core of the recent advances in Artificial Intelligence. Visual information in Digital form is constantly growing in volume. In such active domains as Computer Vision and Robotics visual information understanding is based on the use of deep learning. Other chapters present applications of deep learning for visual content mining. These include attention mechanisms in deep neural networks and application to digital cultural content mining. An additional application field is also discussed, and illustrates how deep learning can be of very high interest to computer-aided diagnostics of Alzheimer's disease on multimodal imaging.
This book targets advanced-level students studying computer science including computer vision, data analytics and multimedia. Researchers and professionals working in computer science, signal and image processing may also be interested in this book.
Publisher: Springer Nature Switzerland AG
Number of pages: 110
Weight: 454 g
Dimensions: 235 x 155 mm
Edition: 1st ed. 2020
You may also be interested in...
Would you like to proceed to the App store to download the Waterstones App?
Alternatively, for multiple items you may find it easier to add to basket, then pay online and collect in as little as 2 hours, subject to availability.