Deep Learning: A Beginners' Guide

Meedeniya, Dulani

Deep Learning: A Beginners' Guide
  • 出版商: CRC
  • 出版日期: 2023-10-16
  • 售價: $4,140
  • 貴賓價: 9.5 折 $3,933
  • 語言: 英文
  • 頁數: 184
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 103247324X
  • ISBN-13: 9781032473246
  • 相關分類: DeepLearning

    • 下單後立即進貨 (約2~4週)

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（DL），這是數據科學中的重要方面，包括預測建模。DL應用廣泛應用於金融、交通、醫療保健、汽車製造和廣告等領域。基於人工神經網絡的DL模型的設計受到大腦結構和運作的影響。本書為那些希望深入了解DL技術的人提供了一個全面的資源。

主要特點：
- 提供有關實際應用中最先進的深度學習模型的理論和設計知識
- 解釋深度學習問題解決中的概念和術語
- 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，本書通過提供對廣泛使用的每個模型的認識，涵蓋了深度學習的整個流程。本書可作為初學者指南，用戶可以理解相關概念和技術。本書將成為本科生、研究生、工程師和研究人員開始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的計算機科學與工程學教授。她在英國聖安德魯斯大學獲得計算機科學博士學位。她是該系的生物健康信息學小組主任，並參與多個合作研究項目。她是100多篇期刊論文、同行評審的會議論文和專書章節的合著者。Dulani教授因其對研究的貢獻而獲得了多個獎項和資助。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、軟件建模與設計、生物健康信息學和技術增強學習。她是英國高等教育學會（HEA）的會士、英國電氣學會（MIET）的會員、IEEE的高級會員、ACM的會員，並在英國工程委員會（EC）註冊為特許工程師。

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