Deep Learning: A Beginners' Guide
暫譯: 深度學習：初學者指南
Meedeniya, Dulani
- 出版商: CRC
- 出版日期: 2023-10-16
- 售價: $4,120
- 貴賓價: 9.5 折 $3,914
- 語言: 英文
- 頁數: 184
- 裝訂: Hardcover - also called cloth, retail trade, or trade
- ISBN: 103247324X
- ISBN-13: 9781032473246
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相關分類:
DeepLearning
海外代購書籍(需單獨結帳)
相關主題
商品描述
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.
商品描述(中文翻譯)
本書專注於深度學習（Deep Learning, DL），這是數據科學的一個重要方面，包括預測建模。深度學習應用廣泛用於金融、交通、醫療保健、自動化製造和廣告等領域。基於人工神經網絡的深度學習模型設計受到大腦結構和運作的影響。本書為那些希望深入掌握深度學習技術的人提供了全面的資源。
主要特點：
- 提供有關最先進的深度學習模型的理論和設計知識，以應用於現實世界
- 解釋使用深度學習解決問題的概念和術語
- 探討深度學習中主要算法和方法的理論基礎
- 討論深度學習模型的增強技術
- 確定深度學習模型的性能評估技術
因此，本書涵蓋了深度學習的整個流程，提供對每個廣泛使用模型的認識。本書可作為初學者指南，使用者可以理解相關的概念和技術。本書將是本科生、研究生、工程師和研究人員學習深度學習主題的有用資源。
作者簡介
Dulani Meedeniya is a Professor in Computer Science and Engineering at the University of Moratuwa, Sri Lanka. She holds a PhD in Computer Science from the University of St Andrews, United Kingdom. She is the director of the Bio-Health Informatics group at her department and engages in a number of collaborative research projects. She is a co-author of 100+ publications in indexed journals, peer-reviewed conferences, and book chapters. Prof. Dulani has received several awards and grants for her contribution to research. She serves as a reviewer, program committee, and editorial team member in many international conferences and journals. Her main research interests are deep learning, software modeling and design, bio-health informatics, and technology-enhanced learning. She is a Fellow of HEA (UK), MIET, Senior Member of IEEE, Member of ACM, and a Chartered Engineer registered at EC (UK).
作者簡介(中文翻譯)
Dulani Meedeniya 是斯里蘭卡莫拉圖瓦大學計算機科學與工程系的教授。她擁有英國聖安德魯斯大學的計算機科學博士學位。她是其系生物健康資訊學組的主任，並參與多個合作研究項目。Dulani教授是100多篇發表於索引期刊、同行評審會議和書籍章節的共同作者。她因對研究的貢獻而獲得多項獎項和資助。她在許多國際會議和期刊中擔任審稿人、程序委員會成員和編輯團隊成員。她的主要研究興趣包括深度學習、軟體建模與設計、生物健康資訊學以及技術增強學習。她是英國高等教育學會（HEA）院士、MIET會員、IEEE高級會員、ACM會員，以及英國工程師協會（EC）註冊的特許工程師。
