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Viac informácií o knihe Deep learning in Remote sensing

• Parametre knihy
• Anotácia kniha
• Obľúbené z iného súdka

Nákupom získate 95 bodov

Anotácia knihy

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.

Parametre knihy

Zaradenie knihy Knihy po nemecky Naturwissenschaften, Medizin, Informatik, Technik Geowissenschaften Geowissenschaften - Sonstiges

• Celý názov: Deep learning in Remote sensing
• Autor: Rania Ibrahim, Asmaa Mandouh
• Jazyk: Angličtina
• Väzba: Brožovaná
• Počet strán: 60
• EAN: 9786207447008
• ISBN: 620744700X
• ID: 44592680
• Nakladateľ: LAP LAMBERT Academic Publishing
• Hmotnosť: 107 g
• Rozmery: 220 × 150 × 4 mm
• Dátum vydania: 22. November 2023

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