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Deep Learning in Mining of Visual Content

-15% su kodu: ENG15
86,38 
Įprasta kaina: 101,62 
-15% su kodu: ENG15
Kupono kodas: ENG15
Akcija baigiasi: 2025-03-03
-15% su kodu: ENG15
86,38 
Įprasta kaina: 101,62 
-15% su kodu: ENG15
Kupono kodas: ENG15
Akcija baigiasi: 2025-03-03
-15% su kodu: ENG15
2025-02-28 101.6200 InStock
Nemokamas pristatymas į paštomatus per 11-15 darbo dienų užsakymams nuo 20,00 

Knygos aprašymas

This book provides the reader with the fundamental knowledge in the area of deep learning with application to visual content mining. The authors give a fresh view on Deep learning approaches both from the point of view of image understanding and supervised machine learning.
It contains chapters which introduce theoretical and mathematical foundations of neural networks and related optimization methods. Then it discusses some particular very popular architectures used in the domain: convolutional neural networks and recurrent neural networks.
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.

Informacija

Autorius: Jenny Benois-Pineau, Akka Zemmari,
Serija: SpringerBriefs in Computer Science
Leidėjas: Springer Nature Switzerland
Išleidimo metai: 2020
Knygos puslapių skaičius: 128
ISBN-10: 3030343758
ISBN-13: 9783030343750
Formatas: 235 x 155 x 8 mm. Knyga minkštu viršeliu
Kalba: Anglų

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