Computer Vision

Sort options

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 [...]
0
No votes yet

Artificial Intelligence on Microsoft Azure (Coursera)

Aug 2nd 2021
Artificial Intelligence on Microsoft Azure (Coursera)
Course Auditing
Categories
Effort
Languages
Whether you're just beginning to work with Artificial Intelligence (AI) or you already have AI experience and are new to Microsoft Azure, this course provides you with everything you need to get started. Artificial Intelligence (AI) empowers amazing new solutions and experiences; and Microsoft Azure provides easy to use [...]
0
No votes yet

Computer Vision in Microsoft Azure (Coursera)

Aug 2nd 2021
Computer Vision in Microsoft Azure (Coursera)
Course Auditing
Categories
Effort
Languages
In Microsoft Azure, the Computer Vision cognitive service uses pre-trained models to analyze images, enabling software developers to easily build applications"see" the world and make sense of it. This ability to process images is the key to creating software that can emulate human visual perception. In this course, you'll [...]
0
No votes yet

Visual Perception for Self-Driving Cars (Coursera)

Welcome to Visual Perception for Self-Driving Cars, the third course in University of Toronto’s Self-Driving Cars Specialization. This course will introduce you to the main perception tasks in autonomous driving, static and dynamic object detection, and will survey common computer vision methods for robotic perception. By the end of [...]
0
No votes yet

Computer Vision Basics (Coursera)

By the end of this course, learners will understand what computer vision is, as well as its mission of making computers see and interpret the world as humans do, by learning core concepts of the field and receiving an introduction to human vision capabilities. They are equipped to identify [...]
0
No votes yet

Introduction to Intel® Distribution of OpenVINO™ toolkit for Computer Vision Applications (Coursera)

Welcome to the Introduction to Intel® Distribution of OpenVINO™ toolkit for Computer Vision Applications course! This course provides easy access to the fundamental concepts of the Intel Distribution of OpenVINO toolkit. Throughout this course, you will be introduced to demos, showcasing the capabilities of this toolkit. [...]
0
No votes yet

Introduction to Computer Vision with Watson and OpenCV (Coursera)

Aug 2nd 2021
Introduction to Computer Vision with Watson and OpenCV (Coursera)
Course Auditing
Categories
Effort
Languages
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 [...]
0
No votes yet

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 [...]
1
Average: 1 ( 3 votes )

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.
0
No votes yet

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.
0
No votes yet