Code: 44592680
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 techno ... more
English
39.17 €
RRP: 45.87 €
You save 6.71 €

You get 95 loyalty points
Book synopsis
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.
Book details
Book category Books in German Naturwissenschaften, Medizin, Informatik, Technik Geowissenschaften Geowissenschaften - Sonstiges
39.17 €
English
Collection points Bratislava a 12824 dalších
Copyright ©2008-26 najlacnejsie-knihy.sk All rights reservedPrivacyCookies
25652 collection points
Delivery 2.99 €
02/210 210 99 (8-15.30h)Shopping cart ( Empty )