Deep Learning Applications, Volume 3 (Advances in Intelligent Systems and Computing, 1395)

Deep Learning Applications, Volume 3 (Advances in Intelligent Systems and Computing) 1st ed. 2022 Edition
Author:M. Arif Wani,Bhiksha Raj,Feng Luo,Dejing Dou
Publisher Finelybook 出版社:Springer; 1st ed. 2022 edition (November 13, 2021)
Language 语言:English
pages 页数:336 pages
ISBN-10 书号:9811633568
ISBN-13 书号:9789811633560

Book 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 ways of 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.

隐藏内容1积分,请先!没有帐号? 注 册 一个!
觉得文章有用就打赏一下
未经允许不得转载:finelybook » Deep Learning Applications, Volume 3 (Advances in Intelligent Systems and Computing, 1395)

评论 抢沙发

  • 昵称 (必填)
  • 邮箱 (必填)
  • 网址

觉得文章有用就打赏一下

非常感谢你的打赏,我们将继续给力更多优质内容,让我们一起创建更加美好的网络世界!

支付宝扫一扫打赏

微信扫一扫打赏