Deep Learning for Vision Systems (Paperback)
暫譯: 視覺系統的深度學習 (平裝本)
Elgendy, Mohamed
- 出版商: Manning
- 出版日期: 2020-11-10
- 定價: $1,800
- 售價: 9.0 折 $1,620
- 語言: 英文
- 頁數: 480
- 裝訂: Quality Paper - also called trade paper
- ISBN: 1617296198
- ISBN-13: 9781617296192
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相關分類:
影像辨識 Image-recognition
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相關翻譯:
深度學習電腦視覺 (簡中版)
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相關主題
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)
電腦視覺是許多尖端創新的核心，包括自駕車、無人機、擴增實境、臉部識別等等。由於人工智慧（AI）和深度學習（DL）的快速進步，每天都有令人驚豔的新電腦視覺應用程式被開發出來。
《深度學習與視覺系統》教你建立智能、可擴展的電腦視覺系統的概念和工具，這些系統能夠識別並對圖像、視頻和現實生活中的物體做出反應。在作者Mohamed Elgendy的專業指導和真實世界專案的說明下，你將最終理解最先進的深度學習技術，讓你能夠在電腦視覺這個令人興奮的領域中建立、貢獻和領導。
購買印刷版書籍可獲得Manning Publications提供的免費電子書，格式包括PDF、Kindle和ePub。
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 的工程部門負責人，該公司是一家領先的人工智慧公司，專注於開發專有的計算機視覺應用程式，以在全球的安全檢查點檢測威脅。在此之前，Mohamed 曾擔任 Amazon 的工程經理，並在 Amazon 的機器學習大學開發並教授計算機視覺的深度學習課程。他還建立並管理了 Amazon 的計算機視覺智庫，以及許多其他值得注意的機器學習成就。Mohamed 定期在許多人工智慧會議上發表演講，例如 Amazon 的 DevCon、O'Reilly 的 AI 會議和 Google 的 I/O。
