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.
| Serija: | Studies in Big Data |
| Leidėjas: | Springer International Publishing |
| Išleidimo metai: | 2022 |
| Knygos puslapių skaičius: | 360 |
| ISBN-10: | 3030954188 |
| ISBN-13: | 9783030954185 |
| Formatas: | 241 x 160 x 25 mm. Knyga kietu viršeliu |
| Kalba: | Anglų |
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