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(Kalman/Particle) and last but not least deep learning for vision, i.e. We are awash in digital images from photos, videos, Instagram, YouTube, and increasingly live video streams. This course covers many topics like Classification, Object Detection, Generative Adversarial Networks, Making ML Web Application & Deploying the Application! Authored Deep Learning for Computer Vision with Python, the most in-depth computer vision and deep learning book available today, including super practical walkthroughs, hands-on tutorials (with lots of code), and a no-nonsense teaching style that will help you master computer vision and deep learning. This is the Featured Video of The Complete Deep Learning & Computer Vision Course in 2020. The first half of the course formulates the basics of Deep Learning, which are built on top of various concepts from Image Processing and Machine Learning. 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This course is a deep dive into details of the deep learning architectures with a focus on learning end-to-end models for these tasks, particularly image classification. Deep Learning Online Course Details: Deep learning added a huge boost to the already rapidly developing field of computer vision. Deep Learning: Advanced Computer Vision (GANs, SSD, +More!) Course Description. Much of the content we will cover is taken from research papers published in the last 5 to 10 years. Register for this Course. Computer vision is a subfield of AI that trains computer in understanding the visual world with the help of deep learning models to easily identify objects and then reacts accordingly. This course “Computer Vision using Deep Learning” is done with a deep learning mindset. This course focuses on the application of Deep Learning in the field of Computer Vision. The OpenCV course is refreshing in the computer vision community!