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    • Computer Vision

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    205 résultats pour ''computer vision'

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      Columbia University

      First Principles of Computer Vision

      Compétences que vous acquerrez : Algorithms, Computer Graphic Techniques, Computer Graphics, Computer Vision, Image Processing, Machine Learning, Mathematics, Theoretical Computer Science

      4.6

      (59 avis)

      Beginner · Specialization · 3-6 Months

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      IBM Skills Network

      Introduction to Computer Vision and Image Processing

      Compétences que vous acquerrez : Computer Graphics, Theoretical Computer Science, Image Processing, Opencv, Algorithms, Computer Graphic Techniques, Deep Learning, Artificial Neural Networks, Computer Vision, Machine Learning

      4.4

      (808 avis)

      Beginner · Course · 1-3 Months

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      DeepLearning.AI

      Deep Learning

      Compétences que vous acquerrez : Advertising, Algorithms, Applied Machine Learning, Artificial Neural Networks, Bayesian Statistics, Big Data, Business Psychology, Communication, Computational Logic, Computer Architecture, Computer Graphic Techniques, Computer Graphics, Computer Networking, Computer Programming, Computer Vision, Data Management, Decision Making, Deep Learning, Entrepreneurship, General Statistics, Hardware Design, Human Computer Interaction, Interactive Design, Leadership and Management, Linear Algebra, Machine Learning, Machine Learning Algorithms, Marketing, Markov Model, Mathematical Theory & Analysis, Mathematics, Modeling, Natural Language, Natural Language Processing, Network Architecture, Network Model, Probability & Statistics, Project, Project Management, Python Programming, Regression, Sales, Speech, Statistical Machine Learning, Statistical Programming, Strategy, Strategy and Operations, Supply Chain, Supply Chain Systems, Supply Chain and Logistics, Tensorflow, Theoretical Computer Science, User Experience

      4.8

      (134.2k avis)

      Intermediate · Specialization · 3-6 Months

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      DeepLearning.AI

      Advanced Computer Vision with TensorFlow

      Compétences que vous acquerrez : Computer Graphics, Applied Machine Learning, Deep Learning, Computer Programming, Statistical Programming, Computer Vision, Computer Graphic Techniques, Machine Learning, Python Programming, Tensorflow

      4.8

      (340 avis)

      Intermediate · Course · 1-4 Weeks

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      DeepLearning.AI, Stanford University

      Machine Learning

      Compétences que vous acquerrez : Accounting, Algorithms, Applied Machine Learning, Artificial Neural Networks, Calculus, Communication, Computer Programming, Computer Vision, Cost, Data Analysis, Data Management, Data Mining, Data Structures, Deep Learning, Econometrics, Feature Engineering, General Statistics, Linear Algebra, Machine Learning, Machine Learning Algorithms, Mathematical Theory & Analysis, Mathematics, Operations Research, Probability & Statistics, Probability Distribution, Python Programming, Regression, Reinforcement Learning, Research and Design, Statistical Classification, Statistical Machine Learning, Statistical Programming, Strategy and Operations, Tensorflow, Theoretical Computer Science

      4.9

      (2.2k avis)

      Beginner · Specialization · 1-3 Months

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      University of Toronto

      Self-Driving Cars

      Compétences que vous acquerrez : Artificial Neural Networks, Communication, Computer Graphic Techniques, Computer Graphics, Computer Programming, Computer Vision, Decision Making, Deep Learning, Entrepreneurship, Estimation, Feature Engineering, General Statistics, Graph Theory, Leadership and Management, Linear Algebra, Machine Learning, Mathematical Theory & Analysis, Mathematics, Modeling, Planning, Probability & Statistics, Probability Distribution, Python Programming, Statistical Programming, Supply Chain and Logistics

      4.7

      (3.1k avis)

      Advanced · Specialization · 3-6 Months

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      Gratuit

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      Edge Impulse

      Computer Vision with Embedded Machine Learning

      Compétences que vous acquerrez : Deep Learning, Artificial Neural Networks, Computer Vision, Machine Learning

      4.7

      (51 avis)

      Intermediate · Course · 1-4 Weeks

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      DeepLearning.AI

      DeepLearning.AI TensorFlow Developer

      Compétences que vous acquerrez : Analysis, Applied Machine Learning, Artificial Neural Networks, Communication, Computer Graphic Techniques, Computer Graphics, Computer Programming, Computer Vision, Deep Learning, Entrepreneurship, Forecasting, General Statistics, Machine Learning, Machine Learning Algorithms, Marketing, Modeling, Natural Language Processing, Probability & Statistics, Programming Principles, Python Programming, Statistical Classification, Statistical Machine Learning, Statistical Programming, Tensorflow, Time Series

      4.7

      (22.2k avis)

      Intermediate · Professional Certificate · 3-6 Months

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      University at Buffalo

      Computer Vision Basics

      Compétences que vous acquerrez : Data Analysis, Computer Graphics, Matlab, Image Processing, Computer Vision, Machine Learning, Mathematics

      4.2

      (1.7k avis)

      Intermediate · Course · 1-4 Weeks

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      DeepLearning.AI

      TensorFlow: Advanced Techniques

      Compétences que vous acquerrez : Application Programming Interfaces, Applied Machine Learning, Artificial Neural Networks, Computer Architecture, Computer Graphic Techniques, Computer Graphics, Computer Networking, Computer Programming, Computer Vision, Deep Learning, Distributed Computing Architecture, Euler'S Totient Function, Machine Learning, Machine Learning Algorithms, Mathematics, Modeling, Network Architecture, Object Detection, Programming Principles, Python Programming, Statistical Programming, Tensorflow

      4.8

      (1.1k avis)

      Intermediate · Specialization · 3-6 Months

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      University of Colorado Boulder

      Deep Learning Applications for Computer Vision

      Compétences que vous acquerrez : Deep Learning, Computer Vision, Machine Learning

      4.7

      (30 avis)

      Intermediate · Course · 1-3 Months

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      Coursera Project Network

      Recognizing Shapes in Images with OpenCV

      Compétences que vous acquerrez : Computer Graphics, Computer Vision, Opencv, Computer Graphic Techniques, Machine Learning

      4.7

      (7 avis)

      Intermediate · Guided Project · Less Than 2 Hours

    Recherches liées à computer vision

    computer vision - image basics with opencv and python
    computer vision basics
    computer vision with embedded machine learning
    computer vision fundamentals with google cloud
    computer vision in microsoft azure
    advanced computer vision with tensorflow
    introduction to computer vision and image processing
    build a computer vision app with azure cognitive services
    1234…18

    En résumé, voici 10 de nos cours computer vision les plus populaires

    • First Principles of Computer Vision: Columbia University
    • Introduction to Computer Vision and Image Processing: IBM Skills Network
    • Deep Learning: DeepLearning.AI
    • Advanced Computer Vision with TensorFlow: DeepLearning.AI
    • Machine Learning: DeepLearning.AI
    • Self-Driving Cars: University of Toronto
    • Computer Vision with Embedded Machine Learning: Edge Impulse
    • DeepLearning.AI TensorFlow Developer: DeepLearning.AI
    • Computer Vision Basics: University at Buffalo
    • TensorFlow: Advanced Techniques: DeepLearning.AI

    Compétences que vous avez acquises en Software Development

    Langage De Programmation (34)
    Google (25)
    Programme Informatique (21)
    Test De Logiciels (21)
    Web (19)
    Google Cloud Platform (18)
    Interfaces De Programmation Applicatives (17)
    Structure Des Données (16)
    Résolution De Problèmes (14)
    Programmation Orientée Objet (13)
    Kubernetes (10)
    List & Label (10)

    Questions fréquentes sur Vision par ordinateur

    • 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.‎

    Le contenu de cette FAQ a été mis à disposition à des fins d'information uniquement. Il est conseillé aux étudiants d'effectuer des recherches supplémentaires afin de s'assurer que les cours et autres qualifications suivis correspondent à leurs objectifs personnels, professionnels et financiers.
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