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    Related topics:BildverarbeitungVisiondeeplearning.aiOpencvNeuronale NetzeStochastik

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    197 Ergebnisse für „computer vision“

    • Columbia University

      Columbia University

      First Principles of Computer Vision

      Kompetenzen, die Sie erwerben: Algorithms, Computer Graphic Techniques, Computer Graphics, Computer Vision, Machine Learning, Mathematics, Theoretical Computer Science

      4.6

      (55 Bewertungen)

      Beginner · Specialization

    • DeepLearning.AI

      DeepLearning.AI

      Deep Learning

      Kompetenzen, die Sie erwerben: Algorithms, Applied Machine Learning, Artificial Neural Networks, Bayesian Statistics, Big Data, Communication, Computational Logic, Computer Architecture, Computer Graphic Techniques, Computer Graphics, Computer Programming, Computer Vision, Convolutional Neural Network, Data Management, Deep Learning, Entrepreneurship, General Statistics, Hardware Design, Human Computer Interaction, Interactive Design, Linear Algebra, Machine Learning, Machine Learning Algorithms, Markov Model, Mathematical Optimization, Mathematical Theory & Analysis, Mathematics, Natural Language Processing, Probability & Statistics, Python Programming, Regression, Statistical Machine Learning, Statistical Programming, Strategy and Operations, Theoretical Computer Science

      4.8

      (133.1k Bewertungen)

      Intermediate · Specialization

    • IBM

      IBM

      Introduction to Computer Vision and Image Processing

      Kompetenzen, die Sie erwerben: Image Processing, Machine Learning, Computer Graphics, Computer Vision, Computer Graphic Techniques

      4.4

      (793 Bewertungen)

      Beginner · Course

    • DeepLearning.AI

      DeepLearning.AI

      TensorFlow: Advanced Techniques

      Kompetenzen, die Sie erwerben: Applied Machine Learning, Artificial Neural Networks, Computer Architecture, Computer Graphic Techniques, Computer Graphics, Computer Programming, Computer Vision, Deep Learning, Distributed Computing Architecture, Machine Learning, Machine Learning Algorithms, Mathematics, Programming Principles, Python Programming, Statistical Programming, Tensorflow

      4.8

      (1k Bewertungen)

      Intermediate · Specialization

    • IBM

      IBM

      IBM AI Engineering

      Kompetenzen, die Sie erwerben: Algorithms, Apache, Applied Machine Learning, Artificial Neural Networks, Basic Descriptive Statistics, Big Data, Computer Graphic Techniques, Computer Graphics, Computer Programming, Computer Vision, Data Analysis, Data Management, Data Structures, Databases, Deep Learning, Econometrics, General Statistics, Keras, Machine Learning, Machine Learning Algorithms, Mathematics, NoSQL, Opencv, Probability & Statistics, Probability Distribution, PyTorch, Python Programming, Regression, SQL, Statistical Machine Learning, Statistical Programming, Tensorflow, Theoretical Computer Science

      4.6

      (14.5k Bewertungen)

      Intermediate · Professional Certificate

    • DeepLearning.AI

      DeepLearning.AI

      Advanced Computer Vision with TensorFlow

      Kompetenzen, die Sie erwerben: Python Programming, Computer Graphic Techniques, Object Detection, Statistical Programming, Deep Learning, Machine Learning, Computer Graphics, Applied Machine Learning, Computer Vision, Computer Programming

      4.8

      (331 Bewertungen)

      Intermediate · Course

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      University at Buffalo

      University at Buffalo

      Computer Vision Basics

      Kompetenzen, die Sie erwerben: Machine Learning, Data Analysis, Image Processing, Mathematics, Matlab, Computer Vision, Computer Graphics

      4.2

      (1.7k Bewertungen)

      Intermediate · Course

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      Kostenlos

      Edge Impulse

      Edge Impulse

      Computer Vision with Embedded Machine Learning

      Kompetenzen, die Sie erwerben: Machine Learning

      4.7

      (46 Bewertungen)

      Intermediate · Course

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      University of Toronto

      University of Toronto

      Self-Driving Cars

      Kompetenzen, die Sie erwerben: Algorithms, Artificial Neural Networks, 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, Planning, Probability & Statistics, Probability Distribution, Python Programming, Statistical Programming, Supply Chain and Logistics, Theoretical Computer Science

      4.7

      (3k Bewertungen)

      Advanced · Specialization

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      DeepLearning.AI

      DeepLearning.AI

      DeepLearning.AI TensorFlow Developer

      Kompetenzen, die Sie erwerben: Applied Machine Learning, Artificial Neural Networks, Computer Graphic Techniques, Computer Graphics, Computer Programming, Computer Vision, Convolutional Neural Network, Deep Learning, Forecasting, General Statistics, Language, Machine Learning, Machine Learning Algorithms, Natural Language, Natural Language Processing, Probability & Statistics, Programming Principles, Python Programming, Statistical Machine Learning, Statistical Programming, Tensorflow

      4.7

      (21.9k Bewertungen)

      Intermediate · Professional Certificate

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      University of Colorado Boulder

      University of Colorado Boulder

      Deep Learning Applications for Computer Vision

      Kompetenzen, die Sie erwerben: Deep Learning, Machine Learning, Computer Vision

      4.8

      (25 Bewertungen)

      Intermediate · Course

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      DeepLearning.AI

      DeepLearning.AI

      Generative Adversarial Networks (GANs)

      Kompetenzen, die Sie erwerben: Applied Machine Learning, Artificial Neural Networks, Bias, Computer Programming, Computer Vision, Deep Learning, Machine Learning, Machine Learning Algorithms, Modeling, Python Programming, Statistical Programming

      4.7

      (1.8k Bewertungen)

      Intermediate · Specialization

    Suchanfragen mit Bezug zu computer vision

    computer vision basics
    computer vision with embedded machine learning
    computer vision - image basics with opencv and python
    computer vision in microsoft azure
    advanced computer vision with tensorflow
    introduction to computer vision and image processing
    automl for computer vision with microsoft custom vision
    build a computer vision app with azure cognitive services
    1234…17

    Zusammenfassend sind hier 10 unserer beliebtesten computer vision Kurse

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

    Fähigkeiten, die Sie bei Software Development erlernen können

    Programmiersprache (34)
    Google (25)
    Computerprogramm (21)
    Software-Tests (21)
    Web (19)
    Google Cloud-Platform (18)
    Anwendungsschnittstellen-Programmierung (17)
    Datenstruktur (16)
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    Kubernetes (10)
    List & Label (10)

    Häufig gestellte Fragen zum Thema Computervision

    • 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.‎

    Diese häufig gestellten Fragen dienen nur zu Informationszwecken. Den Lernenden wird empfohlen, eingehender zu recherchieren, ob Kurse und andere angestrebte Qualifikationen wirklich ihren persönlichen, beruflichen und finanziellen Vorstellungen entsprechen.
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