Deep Learning for Vision Systems

Elgendy, Mohamed

  • 出版商: Manning
  • 出版日期: 2020-11-10
  • 定價: $1,580
  • 售價: 9.5$1,501
  • 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 深度學習





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.


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.