Deep Learning: Methods and Applications (Paperback)

Li Deng, Dong Yu

  • 出版商: Now Publishers Inc
  • 出版日期: 2014-06-12
  • 售價: $3,500
  • 貴賓價: 9.5$3,325
  • 語言: 英文
  • 頁數: 212
  • 裝訂: Paperback
  • ISBN: 1601988141
  • ISBN-13: 9781601988140
  • 相關分類: DeepLearning
  • 下單後立即進貨 (約1週~2週)

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商品描述

Deep Learning: Methods and Applications provides an overview of general deep learning methodology and its applications to a variety of signal and information processing tasks. The application areas are chosen with the following three criteria in mind: (1) expertise or knowledge of the authors; (2) the application areas that have already been transformed by the successful use of deep learning technology, such as speech recognition and computer vision; and (3) the application areas that have the potential to be impacted significantly by deep learning and that have been benefitting from recent research efforts, including natural language and text processing, information retrieval, and multimodal information processing empowered by multi-task deep learning. Deep Learning: Methods and Applications is a timely and important book for researchers and students with an interest in deep learning methodology and its applications in signal and information processing. "This book provides an overview of a sweeping range of up-to-date deep learning methodologies and their application to a variety of signal and information processing tasks, including not only automatic speech recognition (ASR), but also computer vision, language modeling, text processing, multimodal learning, and information retrieval. This is the first and the most valuable book for "deep and wide learning" of deep learning, not to be missed by anyone who wants to know the breathtaking impact of deep learning on many facets of information processing, especially ASR, all of vital importance to our modern technological society." - Sadaoki Furui, President of Toyota Technological Institute at Chicago, and Professor at the Tokyo Institute of Technology.

商品描述(中文翻譯)

《深度學習:方法與應用》提供了對一般深度學習方法及其在各種信號和信息處理任務中的應用的概述。選擇應用領域時考慮了以下三個標準:(1)作者的專業知識或專長;(2)已經通過成功應用深度學習技術而轉變的應用領域,如語音識別和計算機視覺;(3)有潛力受到深度學習的重大影響並且最近的研究努力已經為其帶來益處的應用領域,包括自然語言和文本處理、信息檢索以及多模態信息處理(由多任務深度學習提供支持)。《深度學習:方法與應用》對於對深度學習方法及其在信號和信息處理中的應用感興趣的研究人員和學生來說是一本及時且重要的書籍。'本書提供了對最新深度學習方法及其在各種信號和信息處理任務中的應用的全面概述,包括自動語音識別(ASR)、計算機視覺、語言建模、文本處理、多模態學習和信息檢索。這是一本關於深度學習的“深度且廣泛學習”的第一本也是最有價值的書籍,任何想要了解深度學習對信息處理的多個方面,特別是ASR的驚人影響的人都不容錯過,這對我們現代技術社會至關重要。' - 古井貞興,芝加哥豐田技術研究所所長,東京工業大學教授。