Mohamed Elgendy

Mohamed Elgendy is the vice president of engineering at Rakuten, where he is leading the development of its AI platform and products. Previously, he served as head of engineering at Synapse Technology, building proprietary computer vision applications to detect threats at security checkpoints worldwide. At Amazon, Mohamed built and managed the central AI team that serves as a deep learning think tank for Amazon engineering teams like AWS and Amazon Go. He also developed the deep learning for computer vision curriculum at Amazon’s Machine University. Mohamed regularly speaks at AI conferences like Amazon’s DevCon, O’Reilly’s AI conference, and Google’s I/O.

books by Mohamed Elgendy

Deep Learning for Vision Systems
  • October 2020
  • ISBN 9781617296192
  • 480 pages
Included with a Manning Online subscription
  • printed in black & white
  • Available translations: Complex Chinese, Korean, Simplified Chinese
catalog / Data Science / Machine Learning / Computer Vision

How does the computer learn to understand what it sees? Deep Learning for Vision Systems answers that by applying deep learning to computer vision. Using only high school algebra, this book illuminates the concepts behind visual intuition. You'll understand how to use deep learning architectures to build vision system applications for image generation and facial recognition.