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...
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| Other Authors: | , , |
| Format: | eBook |
| Language: | English |
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IntechOpen
2023
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| Series: | Artificial Intelligence
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| Subjects: | |
| Online Access: | |
| Collection: | Directory of Open Access Books - Collection details see MPG.ReNa |
| Summary: | 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. |
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| Item Description: | Creative Commons (cc), https://creativecommons.org/licenses/by/3.0/ |
| Physical Description: | 1 electronic resource (130 p.) |
| ISBN: | 9781803569529 intechopen.103984 9781803569505 9781803569512 |