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Deep learning is adding a huge boost to the already rapidly developing field of computer vision. With deep learning, a lot of new applications of computer vision techniques have been introduced and are now becoming parts of our everyday lives. These include face recognition, indexing, photo stylization, machine vision in self-driving cars.
The main goal of this Deep Learning vision training is to introduce students to computer vision, starting from basics and then turning to more modern deep learning models. The trainers will be covering both image as well as video recognition that includes the following
image classification and annotation
object recognition and image search
various object detection techniques
object tracking in video
human action recognition
editing and new image generation
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Are you a data scientist who is looking to apply deep learning computer vision algorithms to your research?You can now utilize computer vision algorithms in your own projects but have yet to try deep learning or have you used deep learning in projects before but never when it is when it comes to the context of visual recognition and image understanding.Do you want to become a computer vision developer then you are at the best place.We are here to offer you Deep Learning vision certification training that too with 100% placement assurance and resume building...
Computer vision has become common and there are now a number of applications that are being used for search, apps, mapping, and image understanding.In this Deep Learning vision course the student will get to learn how to build face recognition and manipulation system to understand the internal mechanics that are demonstrated as demos in movies and TV showsThe class is best suited for who already know the basics of machine learning and deep learning, who want to know more about image processing and computer vision and want to fill that gap and for those who want to learn how to solve computer vision problemsGet placement assurance from our expert trainers.Enquire us through the form below...