Deep Learning and Reinforcement Learning

ISBN 10: 1803569506 / ISBN 13: 9781803569505

Published by Intechopen Nov 2023, 2023

About this Item

This item is printed on demand - Print on Demand Titel. Neuware -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.Books on Demand GmbH, Überseering 33, 22297 Hamburg 130 pp. Englisch.

Seller Inventory # 9781803569505

Bibliographic Details

• Title: Deep Learning and Reinforcement Learning
• Publisher: Intechopen Nov 2023
• Publication Date: 2023
• Language: English
• ISBN 10: 1803569506
• ISBN 13: 9781803569505
• Binding: Buch
• Condition: Neu
• Dimensions: 260W x 183H x 14D millimeters 260 millimeters width by 183 millimeters height by 14 millimeters depth
• Weight: 486 grams

About this title

Synopsis

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.