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    • Computer Vision

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    192 results for "computer vision"

    • DeepLearning.AI

      DeepLearning.AI

      Generative Adversarial Networks (GANs)

      Skills you'll gain: Applied Machine Learning, Artificial Neural Networks, Computer Programming, Computer Vision, Deep Learning, Machine Learning, Machine Learning Algorithms, Modeling, Python Programming, Statistical Programming

      4.7

      (1.8k reviews)

      Intermediate · Specialization

    •  IIT Guwahati

      IIT Guwahati

      Post Graduate Certificate in Deep Learning for Computer Vision & Extended Reality (XR)

      University Certificate

    • Free

      Duke University

      Duke University

      Image and Video Processing: From Mars to Hollywood with a Stop at the Hospital

      Skills you'll gain: Computer Vision, Machine Learning, Image Processing, Mathematics, Computer Graphic Techniques, Linear Algebra, Computer Graphics, Applied Mathematics

      4.7

      (1k reviews)

      Mixed · Course

    • DeepLearning.AI

      DeepLearning.AI

      Apply Generative Adversarial Networks (GANs)

      Skills you'll gain: Machine Learning, Computer Vision, Artificial Neural Networks, Deep Learning, Convolutional Neural Network, Modeling, PyTorch

      4.8

      (427 reviews)

      Intermediate · Course

    • Free

      Northwestern University

      Northwestern University

      Fundamentals of Digital Image and Video Processing

      Skills you'll gain: Matlab, Algorithms, Image Processing, Mathematics, Probability & Statistics, Theoretical Computer Science, Machine Learning, Mathematical Theory & Analysis, Computer Vision, Data Analysis, Computer Graphic Techniques, Data Analysis Software, Computer Graphics, Computational Logic, Linear Algebra, General Statistics

      4.6

      (1.6k reviews)

      Mixed · Course

    • MathWorks

      MathWorks

      Introduction to Image Processing

      Skills you'll gain: Computer Vision, Computer Graphic Techniques, Image Processing, Data Analysis, Machine Learning, Data Analysis Software, Computer Graphics, Linear Algebra, Mathematics

      4.8

      (26 reviews)

      Beginner · Course

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      Duke University

      Duke University

      Introduction to Machine Learning

      Skills you'll gain: Regression, Theoretical Computer Science, Artificial Neural Networks, Algorithms, Natural Language Processing, Probability & Statistics, Language, Supply Chain, Computer Vision, Logistic Regression, Machine Learning, Machine Learning Algorithms, Deep Learning, Natural Language, Convolutional Neural Network, General Statistics, PyTorch

      4.7

      (3k reviews)

      Intermediate · Course

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      DeepLearning.AI

      DeepLearning.AI

      Convolutional Neural Networks

      Skills you'll gain: Artificial Neural Networks, Python Programming, Network Architecture, Machine Learning, Object Detection, Applied Machine Learning, Computer Vision, Computer Networking, Computer Graphic Techniques, Computer Graphics, Computer Programming, Statistical Programming, Keras, Computer Architecture, Deep Learning, Tensorflow, Convolutional Neural Network

      4.9

      (40.5k reviews)

      Intermediate · Course

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      IBM

      IBM

      Deep Learning and Reinforcement Learning

      Skills you'll gain: Artificial Neural Networks, Python Programming, Statistical Programming, Computer Vision, Machine Learning, Deep Learning, Computer Programming, Reinforcement Learning

      4.6

      (98 reviews)

      Intermediate · Course

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      Coursera Project Network

      Coursera Project Network

      Deep Learning with PyTorch : Neural Style Transfer

      Skills you'll gain: Computer Vision, Python Programming, Machine Learning, Computer Programming, Deep Learning, PyTorch, Statistical Programming

      4.3

      (72 reviews)

      Intermediate · Guided Project

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      DeepLearning.AI

      DeepLearning.AI

      Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning

      Skills you'll gain: Artificial Neural Networks, Applied Machine Learning, Computer Vision, Machine Learning, Python Programming, Computer Programming, Computer Graphic Techniques, Keras, Deep Learning, Programming Principles, Computer Graphics, Convolutional Neural Network, Statistical Programming, Tensorflow

      4.7

      (17.3k reviews)

      Intermediate · Course

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      IBM

      IBM

      Deep Neural Networks with PyTorch

      Skills you'll gain: Artificial Neural Networks, Statistical Machine Learning, Theoretical Computer Science, Regression, Machine Learning Algorithms, Computer Graphic Techniques, Computer Vision, Algorithms, General Statistics, Convolutional Neural Network, Python Programming, Machine Learning, Computer Graphics, Computer Programming, Deep Learning, PyTorch, Probability & Statistics, Probability Distribution, Econometrics

      4.4

      (1.1k reviews)

      Intermediate · Course

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    1234…16

    In summary, here are 10 of our most popular computer vision courses

    • Generative Adversarial Networks (GANs): DeepLearning.AI
    • Post Graduate Certificate in Deep Learning for Computer Vision & Extended Reality (XR):  IIT Guwahati
    • Image and Video Processing: From Mars to Hollywood with a Stop at the Hospital: Duke University
    • Apply Generative Adversarial Networks (GANs): DeepLearning.AI
    • Fundamentals of Digital Image and Video Processing: Northwestern University
    • Introduction to Image Processing: MathWorks
    • Introduction to Machine Learning: Duke University
    • Convolutional Neural Networks: DeepLearning.AI
    • Deep Learning and Reinforcement Learning: IBM
    • Deep Learning with PyTorch : Neural Style Transfer: Coursera Project Network

    Skills you can learn in Software Development

    Programming Language (34)
    Google (25)
    Computer Program (21)
    Software Testing (21)
    Web (19)
    Google Cloud Platform (18)
    Application Programming Interfaces (17)
    Data Structure (16)
    Problem Solving (14)
    Object-oriented Programming (13)
    Kubernetes (10)
    List & Label (10)

    Frequently Asked Questions about Computer Vision

    • Computer Vision is the branch of Computer Science—particularly Machine Learning and AI—that has applications in many industries such as self-driving cars, robotics, augmented reality, face detection in law-enforcement agencies, and more. Essentially, it’s a robot analogue of human vision in which information about the environment is received by one or more video cameras and processed by a computer.

      Computer Vision solves a lot of problems, making it important to learn. Some of its uses include advances in health technologies. Computer Vision algorithms can help automate tasks such as detecting cancerous moles in skin images or finding symptoms in x-ray and MRI scans.‎

    • Thanks to a need for quality inspection in vision-guided robotic systems, the market for Computer Vision is anticipated to rise to $17.4 billion by 2024. To reap the benefits of this in-demand field, learners can enjoy opportunities as Computer Vision Engineers, Computer Vision Software Engineers, Applied Research Scientists, Computer Vision Testing Engineers, Deep Learning Engineer, Computer Vision Data Scientist, and more.‎

    • Computer Vision courses offered through Coursera equip learners with knowledge in how computers see and interpret the world as humans do; core concepts of Computer Vision and human vision capabilities; key application areas of Computer Vision and Digital Image Processing; Machine Learning and AI basics; and more.

      Lessons on Computer Vision are taught by Data Scientists, Software Engineers, and other specialists, and are administered via video lectures, readings, quizzes, hands-on projects, and more.‎

    • Before you begin studying computer vision, you’ll want to have a familiarity with mathematical analysis and linear algebra as well as a knowledge of Python syntax, the TensorFlow Deep Learning Framework, and OpenCV library. Any advanced experience in computer programming will benefit you as you learn computer vision, particularly if you understand application programming interfaces. You’ll also have an advantage in studying computer vision if you have knowledge of artificial intelligence and machine learning. Other mathematical skills that will help you include statistics and geometry. And a working knowledge of biological vision will help you have a better understanding of how computer vision works.‎

    • Computer vision is just a small slice of the quickly growing field of machine learning, and people with experience in artificial intelligence or machine learning, in general, are well suited for job opportunities in this discipline. Anyone with a background in machine learning can take their skills and specifically hone them for a computer vision career. Data scientists who have deep learning, data structure, and programming language knowledge have a foundation that will benefit them as they study computer vision. Any programmer or scientist who has experience with digital image processing computer programs and algorithms has grasped the basic fundamentals to embark on a career in computer vision.‎

    • Computer vision is an exciting field with possibilities in health care, app development, and data security, and if you’re interested in being on the leading edge of any of those industries, you may want to consider learning computer vision. Learning computer vision is right for anybody who wants to develop platforms and programming languages that allow computers to see the world the way humans do. You might find the idea of analyzing large numbers of images and building visual systems that read the data and context of those images for web-based apps and computer programs to recognize appeals to you, and if so, learning computer vision is likely right for you.‎

    This FAQ content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.
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