Deep learning in Remote sensing: Convolutional Neural Network (CNNs) - Couverture souple

Taha, Lamyaa ; Ibrahim, Rania ; Mandouh, Asmaa

9786207447008: Deep learning in Remote sensing: Convolutional Neural Network (CNNs)

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ISBN 10 : 620744700X ISBN 13 : 9786207447008

Editeur : LAP LAMBERT Academic Publishing, 2023

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�diteur: LAP LAMBERT Academic Publishing
Date d'�dition: 2023
Langue: anglais
ISBN 10: 620744700X
ISBN 13: 9786207447008
Reliure: Broch�
Nombre de pages: 60
Coordonn�es du fabricant: non disponible
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Deep learning in Remote sensing

Taha, Lamyaa; Ibrahim, Rania; Mandouh, Asmaa

Edit� par LAP LAMBERT Academic Publishing, 2023

ISBN 10 : 620744700X ISBN 13 : 9786207447008

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Deep learning in Remote sensing

Taha, Lamyaa; Ibrahim, Rania; Mandouh, Asmaa

Edit� par LAP LAMBERT Academic Publishing, 2023

ISBN 10 : 620744700X ISBN 13 : 9786207447008

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Deep learning in Remote sensing

Lamyaa Taha

Edit� par LAP LAMBERT Academic Publishing Nov 2023, 2023

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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 60 pp. Englisch. N� de r�f. du vendeur 9786207447008

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Deep learning in Remote sensing

Taha, Lamyaa; Ibrahim, Rania; Mandouh, Asmaa

Edit� par LAP LAMBERT Academic Publishing, 2023

ISBN 10 : 620744700X ISBN 13 : 9786207447008

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Deep learning in Remote sensing

Taha, Lamyaa|Ibrahim, Rania|Mandouh, Asmaa

Edit� par LAP Lambert Academic Publishing, 2023

ISBN 10 : 620744700X ISBN 13 : 9786207447008

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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. In this book, an overview of DL is presented that adopts various perspectives such as state-of-the-arts deep learning techniques, Deep learning approaches, applications. Additionally, the potential problems on deep learning technology. This research present. N� de r�f. du vendeur 1299385381

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Deep learning in Remote sensing

Lamyaa Taha

Edit� par LAP LAMBERT Academic Publishing Nov 2023, 2023

ISBN 10 : 620744700X ISBN 13 : 9786207447008

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Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -In this book, an overview of DL is presented that adopts various perspectives such as state-of-the-arts deep learning techniques, Deep learning approaches, applications. Additionally, the potential problems on deep learning technology. This research presents convolutional neural networks (CNNs) which the most utilized DL network type. A survey of the CNN deep learning architectures that are frequently encountered in the literature, along with their strengths and limitations and describes the development of CNNs architectures together with their main features, e.g., AlexNet, VGG, ResNet, DenseNet, GoogLeNet, Inception: ResNet nd Inception V3/ V4, SegNet, U Net, Point CNN and MASK R-CNN .A detailed study on application of Convolutional Neural Network on the remote sensing to extract features is also explained. Challenges that met CNN were discussed.VDM Verlag, Dudweiler Landstra�e 99, 66123 Saarbr�cken 60 pp. Englisch. N� de r�f. du vendeur 9786207447008

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Deep learning in Remote sensing : Convolutional Neural Network (CNNs)

Lamyaa Taha

Edit� par LAP LAMBERT Academic Publishing, 2023

ISBN 10 : 620744700X ISBN 13 : 9786207447008

Neuf Taschenbuch

impression � la demande

Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne

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Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - In this book, an overview of DL is presented that adopts various perspectives such as state-of-the-arts deep learning techniques, Deep learning approaches, applications. Additionally, the potential problems on deep learning technology. This research presents convolutional neural networks (CNNs) which the most utilized DL network type. A survey of the CNN deep learning architectures that are frequently encountered in the literature, along with their strengths and limitations and describes the development of CNNs architectures together with their main features, e.g., AlexNet, VGG, ResNet, DenseNet, GoogLeNet, Inception: ResNet nd Inception V3/ V4, SegNet, U Net, Point CNN and MASK R-CNN .A detailed study on application of Convolutional Neural Network on the remote sensing to extract features is also explained. Challenges that met CNN were discussed. N� de r�f. du vendeur 9786207447008

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