Deep Learning: Methods and Practices for Intelligent Systems
Published Date: December 13th 2024
Page Length: 354
Language: English
ISBN: 978-1-80053-651-7
Price: £36.2
Introduction
DOI: 10.38007/978-1-80053-651-7
Chapter 1 provides a brief introduction to the basic concepts and important algorithms of deep learning, revealing its advantages in solving traditional machine learning problems and its wide applications in various fields. Chapter 2 systematically reviews the applications of deep learning in key fields such as computer vision, natural language processing, chemical industry and pharmaceutical science, showcasing its successful cases and application scenarios in practical problems. Chapter 3 provides an in-depth analysis of the development history and impact of deep learning technology, exploring its profound effects on visual, auditory, and brain function enhancement, particularly its unique value in enhancing human intelligence. In Chapter 4, the focus is on exploring deep reinforcement learning in intelligent systems. With the combination of deep learning and reinforcement learning, intelligent systems have been unprecedentedly improved, and the application of deep reinforcement learning has gradually become one of the important tools for building intelligent systems. This chapter not only covers the basic analysis of intelligent systems, but also delves into reinforcement learning algorithm models based on deep networks, providing theoretical support for subsequent research. Chapter 5 turns to practical applications and introduces typical applications such as intelligent recommendation systems, intelligent question answering systems, and intelligent control systems based on deep learning. These applications fully demonstrate the efficiency and flexibility of deep learning technology in complex environments, and provide valuable experience for technology development and innovation in related fields.
This book strives to closely integrate the theory and practice of deep learning, and its content is not only suitable for academic researchers and technical developers, but also for readers interested in deep learning. I hope that through this book, readers can better understand the core ideas of deep learning and master how to effectively apply these technologies to the construction of intelligent systems, thereby promoting the development and progress of future technology.