This book introduces to blockchain and deep learning and explores and illustrates the current and new trends that integrate them. The pace and speeds for connectivity are certain on the ascend. Blockchain and deep learning are twin technologies that are integral to integrity and relevance of network contents. Since they are data-driven technologies, rapidly growing interests exist to incorporate them in efficient and secure data sharing and analysis applications. Blockchain and deep learning are sentinel contemporary research technologies. This book provides a comprehensive reference for blockchain and deep learning by covering all important topics. It identifies the bedrock principles and forward projecting methodologies that illuminate the trajectory of developments for the decades ahead.
| ISBN: | 9783030954215 |
| Publication date: | 30th March 2023 |
| Author: | Khaled R Ahmed |
| Publisher: | Springer Nature Switzerland AG |
| Format: | Paperback |
| Pagination: | 349 pages |
| Series: | Studies in Big Data |
| Genres: |
Distributed ledger technology / blockchain Machine learning Cybernetics and systems theory Artificial intelligence |