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Deep learning in mining of visual content

Author: Akka Zemmari; Jenny Benois-Pineau
Publisher: Cham : Springer, 2020.
Series: SpringerBriefs in computer science.
Edition/Format:   eBook : Document : EnglishView all editions and formats
Summary:
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  Read more...
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Genre/Form: Electronic books
Additional Physical Format: Print version:
Zemmari, Akka
Deep Learning in Mining of Visual Content
Cham : Springer,c2020
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Akka Zemmari; Jenny Benois-Pineau
ISBN: 9783030343767 3030343766
OCLC Number: 1138669930
Notes: Description based upon print version of record.
Description: 1 online resource (117 p.).
Contents: Introduction --
Supervised Learning Problem Formulation --
Neural Networks from Scratch --
Optimization Methods --
Deep in the Wild --
Convolutional Neural Networks as Image Analysis Tool --
Dynamic Content Mining --
Case Study for Digital Cultural Content Mining --
Introducing Domain Knowledge.
Series Title: SpringerBriefs in computer science.
Responsibility: Akka Zemmari, Jenny Benois-Pineau.

Abstract:

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  Read more...

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