Deep Learning for Vision Systems 

How does the computer learn to understand what it sees? 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.

Summary
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).

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.