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Kniha Deep learning in Remote sensing Rania Ibrahim

Deep learning in Remote sensing

Autor: Rania Ibrahim, Asmaa Mandouh
Jazyk: Angličtina
Väzba: Brožovaná
Vydavateľ: LAP LAMBERT Academic Publishing
Dostupnosť: Skladom u dodávateľa
Odosielame za 8-11 dní
38.01 €
In this book, an overview of DL is presented that adopts various perspectives such as state-of-the-a...

Informácie o knihe

Autor
Rania Ibrahim, Asmaa Mandouh
Jazyk
Angličtina
Väzba
Kniha - Brožovaná
Vydalo
2023
Stránok
60
EAN
9786207447008
ISBN
620744700X
Enbook ID
44592680
Vydavateľ
LAP LAMBERT Academic Publishing
Hmotnosť
107
Rozmery
150 x 220 x 4

Kompletný popis

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.

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