Téléchargez le livre : Deep Learning Applications, Volume 3

Deep Learning Applications, Volume 3

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Éditeur :

Springer


Collection :

Advances in Intelligent Systems and Computing

Paru le : 2021-11-12

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Description

This book presents a compilation of extended version of selected papers from the 19th IEEE International Conference on Machine Learning and Applications (IEEE ICMLA 2020) and focuses on deep learning networks in applications such as pneumonia detection in chest X-ray images, object detection and classification, RGB and depth image fusion, NLP tasks, dimensionality estimation, time series forecasting, building electric power grid for controllable energy resources, guiding charities in maximizing donations, and robotic control in industrial environments. Novel ways of using convolutional neural networks, recurrent neural network, autoencoder, deep evidential active learning, deep rapid class augmentation techniques, BERT models, multi-task learning networks, model compression and acceleration techniques, and conditional Feature Augmented and Transformed GAN (cFAT-GAN)  for the above applications are covered in this book. Readers will find insights to help them realize novel waysof using deep learning architectures and algorithms in real-world applications and contexts, making the book an essential reference guide for academic researchers, professionals, software engineers in the industry, and innovative product developers.
 
Pages
322 pages
Collection
Advances in Intelligent Systems and Computing
Parution
2021-11-12
Marque
Springer
EAN papier
9789811633560
EAN PDF
9789811633577
Informations sur l'ebook
Nombre pages copiables
3
Nombre pages imprimables
32
Taille du fichier
10138 Ko
Prix
137,14 €
EAN EPUB
9789811633577
Informations sur l'ebook
Nombre pages copiables
3
Nombre pages imprimables
32
Taille du fichier
52337 Ko
Prix
137,14 €

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