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Deep Learning for Vision Systems 1st Edition - Mohamed Elgendy - Kebuk

Deep Learning for Vision Systems 1st Edition

Автор: Mohamed Elgendy
Видавництво: Manning
Немає в наявності
Кількість сторінок480
Рік видання2020
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.
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). 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.

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