Deep Learning Applications Volume 3 is popular PDF and ePub book, written by M. Arif Wani in 2021-11-12, it is a fantastic choice for those who relish reading online the Technology & Engineering genre. Let's immerse ourselves in this engaging Technology & Engineering book by exploring the summary and details provided below. Remember, Deep Learning Applications Volume 3 can be Read Online from any device for your convenience.
Deep Learning Applications Volume 3 Book PDF Summary
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.
Detail Book of Deep Learning Applications Volume 3 PDF
- Author : M. Arif Wani
- Release : 12 November 2021
- Publisher : Springer Nature
- ISBN : 9789811633577
- Genre : Technology & Engineering
- Total Page : 328 pages
- Language : English
- PDF File Size : 13,8 Mb
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