Deep Learning for Vision Systems (Paperback)

Elgendy, Mohamed

  • 出版商: Manning
  • 出版日期: 2020-11-10
  • 售價: $1,800
  • 貴賓價: 9.5$1,710
  • 語言: 英文
  • 頁數: 480
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 1617296198
  • ISBN-13: 9781617296192
  • 相關分類: DeepLearning
  • 相關翻譯: 深度學習電腦視覺 (簡中版)
  • 立即出貨 (庫存 < 3)

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商品描述

Computer vision is central to many leading-edge innovations, including self-driving cars, drones, augmented reality, facial recognition, and much, much more. Amazing new computer vision applications are developed every day, thanks to rapid advances in AI and deep learning (DL).

Deep Learning for Vision Systems teaches you the concepts and tools for building intelligent, scalable computer vision systems that can identify and react to objects in images, videos, and real life. With author Mohamed Elgendy's expert instruction and illustration of real-world projects, you'll finally grok state-of-the-art deep learning techniques, so you can build, contribute to, and lead in the exciting realm of computer vision

Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.

商品描述(中文翻譯)

電腦視覺是許多領先創新的核心,包括自駕車、無人機、擴增實境、人臉識別等等。由於人工智慧和深度學習的快速進步,每天都有令人驚奇的新電腦視覺應用被開發出來。

《深度學習視覺系統》教授您建立智能、可擴展的電腦視覺系統的概念和工具,這些系統可以識別並對圖像、視頻和現實生活中的物體做出反應。通過作者Mohamed Elgendy的專業指導和實際項目的示範,您將最終掌握最先進的深度學習技術,從而能夠在令人興奮的電腦視覺領域中建立、貢獻和領導。

購買印刷版書籍將包含Manning Publications提供的PDF、Kindle和ePub格式的免費電子書。

作者簡介

Mohamed Elgendy is the head of engineering at Synapse Technology, a leading AI company that builds proprietary computer vision applications to detect threats at security checkpoints worldwide. Previously, Mohamed was an engineering manager at Amazon, where he developed and taught the deep learning for computer vision course at Amazon's Machine Learning University. He also built and managed Amazon's computer vision think tank, among many other noteworthy machine learning accomplishments. Mohamed regularly speaks at many AI conferences like Amazon's DevCon, O'Reilly's AI conference and Google's I/O.

作者簡介(中文翻譯)

Mohamed Elgendy是Synapse Technology的工程主管,該公司是一家領先的人工智慧公司,專門開發專有的電腦視覺應用程式,用於全球安全檢查點的威脅檢測。在此之前,Mohamed曾在亞馬遜擔任工程經理,他在亞馬遜機器學習大學開發並教授了深度學習的電腦視覺課程。他還建立並管理了亞馬遜的電腦視覺智庫,以及其他許多值得注意的機器學習成就。Mohamed經常在許多人工智慧會議上演講,如亞馬遜的DevCon、O'Reilly的AI會議和Google的I/O。