Deep Learning Models: A Practical Approach for Hands-On Professionals
Gamba, Jonah
- 出版商: Springer
- 出版日期: 2024-04-10
- 售價: $7,030
- 貴賓價: 9.5 折 $6,679
- 語言: 英文
- 頁數: 201
- 裝訂: Hardcover - also called cloth, retail trade, or trade
- ISBN: 9819996716
- ISBN-13: 9789819996711
-
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 and prioritizes a practical approach, minimizing theoretical concepts to deliver algorithms effectively. With deep learning emerging as a vibrant field of research and development in numerous industrial applications, there is a pressing need for accessible resources that provide comprehensive examples and quick guidance. Unfortunately, many existing books on the market tend to emphasize theoretical aspects, leaving newcomers scrambling for practical guidance. This book takes a different approach by focusing on practicality while keeping theoretical concepts to a necessary minimum. The book begins by laying a foundation of basic information on deep learning, gradually delving into the subject matter to explain and illustrate the limitations of existing algorithms. A dedicated chapter is allocated to evaluating the performance of multiple algorithms on specific datasets, highlighting techniques and strategies that can address real-world challenges when deep learning is employed. By consolidating all necessary information into a single resource, readers can bypass the hassle of scouring scattered online sources, gaining a one-stop solution to dive into deep learning for object detection and classification. To facilitate understanding, the book employs a rich array of illustrations, figures, tables, and code snippets. Comprehensive code examples are provided, empowering readers to grasp concepts quickly and develop practical solutions. The book covers essential methods and tools, ensuring a complete and comprehensive coverage that enables professionals to implement deep learning algorithms swiftly and effectively.
This book is designed to equip professionals with the necessary skills to thrive in the active field of deep learning, where it has the potential to revolutionize traditional problem-solving approaches. This book serves as a practical companion, enabling readers to grasp concepts swiftly and embark on building practical solutions.
商品描述(中文翻譯)
本書專注於實用方法,將理論概念最小化,以有效傳遞演算法。隨著深度學習在許多工業應用中成為一個充滿活力的研究和開發領域,迫切需要提供全面範例和快速指導的易於使用資源。不幸的是,市場上許多現有的書籍往往強調理論方面,讓新手苦於尋找實用指南。本書採取不同的方法,專注於實用性,同時將理論概念保持在必要的最低限度。本書首先奠定了深度學習的基礎知識,逐漸深入主題,解釋和說明現有演算法的限制。專門的章節用於評估多個演算法在特定數據集上的性能,突出展示在深度學習應用時可以應對現實挑戰的技術和策略。通過將所有必要的信息整合到一個資源中,讀者可以避免煩惱地搜索分散的線上資源,獲得一站式解決方案,深入研究物體檢測和分類的深度學習。為了便於理解,本書使用豐富的插圖、圖表、表格和程式碼片段。提供全面的程式碼範例,讓讀者能夠快速掌握概念並開發實用解決方案。本書涵蓋了必要的方法和工具,確保全面而全面的覆蓋範圍,使專業人士能夠迅速有效地實施深度學習演算法。
本書旨在裝備專業人士擁有在深度學習這個活躍領域中取得成功所需的技能,該領域有潛力革新傳統的問題解決方法。本書作為一個實用的伴侶,使讀者能夠迅速掌握概念並開始構建實用解決方案。
作者簡介
Dr. Jonah Gamba received a B.Sc. degree in Electrical and Electronics Engineering from the University of Zimbabwe in 1994 and an M.Sc. in Computer Science and Engineering from Zhejiang University, Hangzhou, China, in 2000. He obtained a Ph.D. degree in Mathematical Information Systems from Saitama University in 2005. He was a postdoctoral research fellow in information theory at Tsukuba University from 2006 to 2008.
He has been actively involved in research and development activities after obtaining his Ph.D. He conducted research in automotive applications of millimeter-wave radar for advanced vehicle safety and comfort systems. At Tsukuba University's Tsukuba Advanced Research Alliance, he conducted research in video and image processing algorithms as a JST CREST Project postdoctoral researcher.
Dr. Gamba has authored and co-authored several publications in signal processing and related fields. As an inventor, he has registered multiple patents in signal processing applications. His current interests are signal processing for automotive applications, functional safety management, and remote sensing. He has been a visiting researcher of Seikei University and Tokyo University. He is a member of IEEE Signal Processing Society.
作者簡介(中文翻譯)
Dr. Jonah Gamba於1994年獲得津巴布韋大學的電氣與電子工程學士學位,並於2000年在中國杭州的浙江大學獲得計算機科學與工程的碩士學位。他於2005年在埼玉大學獲得數學信息系統的博士學位。他在2006年至2008年期間在筑波大學擔任信息理論的博士後研究員。
在獲得博士學位後,他積極參與研究和開發活動。他在毫米波雷達在汽車高級安全和舒適系統中的應用方面進行了研究。在筑波大學筑波高級研究聯盟,他作為JST CREST項目的博士後研究員,從事視頻和圖像處理算法的研究。
Dr. Gamba在信號處理和相關領域中撰寫和合著了多篇論文。作為發明家,他在信號處理應用領域註冊了多項專利。他目前的興趣包括汽車應用的信號處理、功能安全管理和遙感。他曾擔任成蹊大學和東京大學的訪問研究員。他是IEEE信號處理學會的成員。