Deep Learning and Reinforcement Learning
Contributor(s)
Yang, Jucheng (editor)
Chen, Yarui (editor)
Zhao, Tingting (editor)
Wang, Yuan (editor)
Pan, Xuran (editor)
Language
EnglishAbstract
Deep learning and reinforcement learning are some of the most important and exciting research fields today. With the emergence of new network structures and algorithms such as convolutional neural networks, recurrent neural networks, and self-attention models, these technologies have gained widespread attention and applications in fields such as natural language processing, medical image analysis, and Internet of Things (IoT) device recognition. This book, Deep Learning and Reinforcement Learning examines the latest research achievements of these technologies and provides a reference for researchers, engineers, students, and other interested readers. It helps readers understand the opportunities and challenges faced by deep learning and reinforcement learning and how to address them, thus improving the research and application capabilities of these technologies in related fields.
Keywords
internet of things; security; segmentation; medical imaging; abdomenWebshop link
https://www.intechopen.com/boo ...ISBN
9781803569512, 9781803569505, 9781803569529Publisher
IntechOpenPublisher website
https://www.intechopen.com/Publication date and place
2023Imprint
IntechOpenSeries
Artificial Intelligence, 18Classification
Machine learning