Computer Vision

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Introduction to Computer Vision with Watson and OpenCV (Coursera)

Sep 27th 2021
Introduction to Computer Vision with Watson and OpenCV (Coursera)
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Computer Vision is one of the most exciting fields in Machine Learning and AI. It has applications in many industries such as self-driving cars, robotics, augmented reality, face detection in law enforcement agencies. In this beginner-friendly course you will understand about computer vision, and will learn about its various [...]
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Robotics: Perception (Coursera)

How can robots perceive the world and their own movements so that they accomplish navigation and manipulation tasks? In this module, we will study how images and videos acquired by cameras mounted on robots are transformed into representations like features and optical flow. Such 2D representations allow us then [...]
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Intelligent Systems: An Introduction to Deep Learning and Autonomous Systems (FutureLearn)

Discover the benefits and risks of deep learning and its uses in systems such as assistive technology and facial recognition. Delve into the inner workings of deep learning. From Ada Lovelace until the first decade of this century, we have relied on expert computer programmers to design and write [...]
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Mathematics for computer vision (Coursera)

The course is devoted to the systematization of the mathematical background of the students necessary for the successful mastering of educational disciplines in the field of computer vision. The course includes sections of mathematical analysis, probability theory, linear algebra.
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2D image processing (Coursera)

The course is devoted to the usage of computer vision libraries like OpenCV in 2d image processing. The course includes sections of image filtering and thresholding, edge/corner/interest point detection, local and global descriptors, video tracking.
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Advanced Computer Vision with TensorFlow (Coursera)

Sep 20th 2021
Advanced Computer Vision with TensorFlow (Coursera)
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In this course, you will: a) Explore image classification, image segmentation, object localization, and object detection. Apply transfer learning to object localization and detection; b) Apply object detection models such as regional-CNN and ResNet-50, customize existing models, and build your own models to detect, localize, and label your own [...]
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AWS Computer Vision: Getting Started with GluonCV (Coursera)

This course provides an overview of Computer Vision (CV), Machine Learning (ML) with Amazon Web Services (AWS), and how to build and train a CV model using the Apache MXNet and GluonCV toolkit. The course discusses artificial neural networks and other deep learning concepts, then walks through how to [...]
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Getting Started with AWS Machine Learning (Coursera)

Machine learning (ML) is one of the fastest growing areas in technology and a highly sought after skillset in today’s job market. The World Economic Forum states the growth of artificial intelligence (AI) could create 58 million net new jobs in the next few years, yet it’s estimated that [...]
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Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning (Coursera)

If you are a software developer who wants to build scalable AI-powered algorithms, you need to understand how to use the tools to build them. This course is part of the upcoming Machine Learning in Tensorflow Specialization and will teach you best practices for using TensorFlow, a popular open-source [...]
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Deep Learning in Computer Vision (Coursera)

Deep learning added 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 and indexing, photo stylization or machine [...]
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Average: 8 ( 3 votes )