From Deep Learning for Vision Systems By Mohamed Elgendy

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Computer vision is central to many leading-edge innovations, including self-driving cars, drones, augmented reality, facial recognition, and much, much more. Moreover, in case you were not already aware, a drone is an unmanned aerial vehicle (UAV) that can be remotely controlled for several unique purposes. Accordingly, although drones are most commonly associated with military operations and surveillance, by outfitting these relatively small unmanned robots with video production equipment, drones have taken a giant leap forward in terms of commercial and personal uses. Additionally, drones can be pre-programmed to fly specific flight paths by integrating software and GPS information or by hand manipulation. In terms of video production, drones have expanded and refined many filmmaking techniques. Consequently, you can learn more about some of the different uses for drones by researching drone manufacturers like DJI online. Ultimately, it is no secret that 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!