Deep Learning Applications, Volume 4

de

,

Éditeur :

Springer


Paru le : 2022-11-25

eBook Téléchargement , DRM LCP 🛈 DRM Adobe 🛈
Lecture en ligne (streaming)
126,59

Téléchargement immédiat
Dès validation de votre commande
Image Louise Reader présentation

Louise Reader

Lisez ce titre sur l'application Louise Reader.

Description

This book presents a compilation of extended versions of selected papers from 20th IEEE International Conference on Machine Learning and Applications (IEEE ICMLA 2021). It focuses on deep learning networks and their applications in domains such as healthcare, security and threat detection, fault diagnosis and accident analysis, and robotic control in industrial environments. It highlights novel ways of using deep neural networks to solve real-world problems, and also offers insights into deep learning architectures and algorithms, making it an essential reference guide for academic researchers, professionals, software engineers in industry, and innovative product developers. The book is fourth in the series published since 2017.
Pages
384 pages
Collection
n.c
Parution
2022-11-25
Marque
Springer
EAN papier
9789811961526
EAN PDF
9789811961533

Informations sur l'ebook
Nombre pages copiables
3
Nombre pages imprimables
38
Taille du fichier
15206 Ko
Prix
126,59 €
EAN EPUB
9789811961533

Informations sur l'ebook
Nombre pages copiables
3
Nombre pages imprimables
38
Taille du fichier
71875 Ko
Prix
126,59 €

Suggestions personnalisées