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Книга Deep learning in Remote sensing Rania Ibrahim

Deep learning in Remote sensing

Автор: Rania Ibrahim, Asmaa Mandouh
Език: Английски език
Корици: С меки корици
Издател: LAP LAMBERT Academic Publishing
Наличност: Външен склад
Изпращаме след 8-11 дни
40.27 € 78.77 лв
In this book, an overview of DL is presented that adopts various perspectives such as state-of-the-a...

Информация за книгата

Автор
Rania Ibrahim, Asmaa Mandouh
Език
Английски език
Корици
Книга - С меки корици
Издадена
2023
страници
60
EAN
9786207447008
ISBN
620744700X
Enbook ID
44592680
Издател
LAP LAMBERT Academic Publishing
Теглоt
107
Размери
150 x 220 x 4

Пълно описание

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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