Deep Learning: A Beginners’ Guide
by: Dulani Meedeniya (Author)
Publisher finelybook 出版社: Chapman and Hall/CRC; (October 16, 2023)
Language 语言: English
Print Length 页数: 198 pages
ISBN-10: 103247324X
ISBN-13: 9781032473246
Book Description
By finelybook
This book focuses on deep learning (DL), which is an important aspect of data science, that includes predictive modeling. DL applications are widely used in domains such as finance, transport, healthcare, automanufacturing, and advertising. The design of the DL models based on artificial neural networks is influenced by the structure and operation of the brain. This book presents a comprehensive resource for those who seek a solid grasp of the techniques in DL.
Key features:
Provides knowledge on theory and design of state-of-the-art deep learning models for real-world applications
Explains the concepts and terminology in problem-solving with deep learning
Explores the theoretical basis for major algorithms and approaches in deep learning
Discusses the enhancement techniques of deep learning models
Identifies the performance evaluation techniques for deep learning models
Accordingly, the book covers the entire process flow of deep learning by providing awareness of each of the widely used models. This book can be used as a beginners’ guide where the user can understand the associated concepts and techniques. This book will be a useful resource for undergraduate and postgraduate students, engineers, and researchers, who are starting to learn the subject of deep learning.
