Menu
Rendelés állapotának ellenőrzése
Kapcsolat
Könyv Deep learning in Remote sensing Rania Ibrahim

Deep learning in Remote sensing

Szerző: Rania Ibrahim, Asmaa Mandouh
Nyelv: Angol
Kötés: Puha kötésű
Kiadó: LAP LAMBERT Academic Publishing
Elérhetőség: Beszállítói készleten
Küldés 8-11 napon belül
14 687 Ft
In this book, an overview of DL is presented that adopts various perspectives such as state-of-the-a...

Információk a könyvről

Szerző
Rania Ibrahim, Asmaa Mandouh
Nyelv
Angol
Kötés
Könyv - Puha kötésű
Kiadva
2023
oldal
60
EAN
9786207447008
ISBN
620744700X
Enbook ID
44592680
Kiadó
LAP LAMBERT Academic Publishing
Súly
107
Méretek
150 x 220 x 4

Teljes leírás

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.

Érdekelheti

Richard E. Norman and Race Filmmaking

Barbara Tepa Lupack
35 668 Ft

Middlemarch

George Eliot
7 620 Ft

Retreating from the Cold War

David Cox
19 815 Ft

Inevitable Peace

Carl Joachim Friedrich
17 791 Ft

Escaping Wars and Waves

J Kugler
7 763 Ft

Music, Books and Theatre in Eighteenth-Century Exton

Timms
27 212 Ft