Deep Learning and Reinforcement Learning
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 widespre...
Sparad:
| Materialtyp: | Online |
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| Språk: | engelska |
| Utgiven: |
IntechOpen
2024
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| Ämnen: | |
| Länkar: | ONIX_20240307_9781803569512_170 |
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Inga taggar, Lägg till första taggen!
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| _version_ | 1869522178020474880 |
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| collection | Directory of Open Access Books |
| description | 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. |
| format | Online |
| id | doab-20.500.12854ir-135262 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2024 |
| publishDateRange | 2024 |
| publishDateSort | 2024 |
| publisher | IntechOpen |
| publisherStr | IntechOpen |
| record_format | ojs |
| spelling | doab-20.500.12854ir-1352622024-04-14T10:28:25Z Deep Learning and Reinforcement Learning Yang, Jucheng Chen, Yarui Zhao, Tingting Wang, Yuan Pan, Xuran internet of things security segmentation medical imaging abdomen thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence::UYQM Machine learning 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. 2024-03-07T17:02:22Z 2024-03-07T17:02:22Z 2023 book ONIX_20240307_9781803569512_170 2633-1403 9781803569512 9781803569505 9781803569529 https://directory.doabooks.org/handle/20.500.12854/135262 eng Artificial Intelligence image/jpeg n/a https://www.intechopen.com/books/11980 https://mts.intechopen.com/storage/books/11980/authors_book/authors_book.pdf IntechOpen IntechOpen 10.5772/intechopen.103984 10.5772/intechopen.103984 78a36484-2c0c-47cb-ad67-2b9f5cd4a8f6 9781803569512 9781803569505 9781803569529 IntechOpen 18 130 open access |
| spellingShingle | internet of things security segmentation medical imaging abdomen thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence::UYQM Machine learning Deep Learning and Reinforcement Learning |
| title | Deep Learning and Reinforcement Learning |
| title_full | Deep Learning and Reinforcement Learning |
| title_fullStr | Deep Learning and Reinforcement Learning |
| title_full_unstemmed | Deep Learning and Reinforcement Learning |
| title_short | Deep Learning and Reinforcement Learning |
| title_sort | deep learning and reinforcement learning |
| topic | internet of things security segmentation medical imaging abdomen thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence::UYQM Machine learning |
| topic_facet | internet of things security segmentation medical imaging abdomen thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence::UYQM Machine learning |
| url | ONIX_20240307_9781803569512_170 |