Computer Vision

Computer Vision is a field of artificial intelligence that trains computers to interpret and understand the visual world. Coursera's Computer Vision catalogue teaches you how machines can gain high-level understanding from digital images or videos. You'll learn the foundational principles of object detection, image recognition, machine learning techniques, deep learning networks and practical implementation of these technologies. From creating visual effects to automating tasks in various sectors like healthcare, automotive or security, your path to becoming a proficient computer vision engineer, data scientist or researcher begins here.
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Find the best Computer Vision course for your goals

  • Status: Preview

    Universitat Autònoma de Barcelona

    Skills you'll gain: Computer Vision, Image Analysis, Applied Machine Learning, Classification And Regression Tree (CART), Machine Learning Algorithms, Supervised Learning, Machine Learning, Deep Learning, Feature Engineering, Artificial Neural Networks, Algorithms, Histogram

  • Status: Free Trial

    Skills you'll gain: Image Analysis, Matlab, Computer Vision, Medical Imaging, Spatial Analysis, Algorithms

  • Status: Preview

    Skills you'll gain: AI Product Strategy, Artificial Intelligence, Artificial Neural Networks, Digital Transformation, Deep Learning, Technical Management, Computer Vision, Machine Learning, Responsible AI, Project Implementation, Data Science

  • Status: Free Trial

    DeepLearning.AI

    Skills you'll gain: Image Analysis, Diagnostic Radiology, Predictive Modeling, Data Processing, Artificial Intelligence, Tensorflow, Applied Machine Learning, Medical Imaging, Keras (Neural Network Library), Computer Vision, Deep Learning, Natural Language Processing, Machine Learning, Artificial Neural Networks, Magnetic Resonance Imaging, Probability & Statistics, X-Ray Computed Tomography

  • Skills you'll gain: PyTorch (Machine Learning Library), Computer Vision, NumPy, Matplotlib, Deep Learning, Pandas (Python Package), Image Analysis, Python Programming, Artificial Neural Networks, Data Manipulation

  • Status: Free Trial

    University of Washington

    Skills you'll gain: Regression Analysis, Applied Machine Learning, Feature Engineering, Machine Learning, Image Analysis, Unsupervised Learning, Predictive Modeling, Classification And Regression Tree (CART), Supervised Learning, Bayesian Statistics, Statistical Modeling, Artificial Intelligence, Deep Learning, Data Mining, Computer Vision, Statistical Machine Learning, Predictive Analytics, Text Mining, Machine Learning Algorithms, Big Data

  • Status: Preview

    University of London

    Skills you'll gain: Machine Learning, Data Processing, Artificial Intelligence, Data Analysis, Machine Learning Algorithms, Computer Vision, Data Collection, Software Testing

  • Status: Free Trial

    Skills you'll gain: Generative AI, Generative Model Architectures, PyTorch (Machine Learning Library), Deep Learning, Responsible AI, Artificial Neural Networks, Data Ethics, Computer Vision, Unsupervised Learning

  • Status: Preview

    Skills you'll gain: Image Analysis, Computer Vision, Digital Communications, Computer Graphics, Visualization (Computer Graphics), Medical Imaging, Applied Mathematics, Spatial Analysis, Advanced Mathematics, Linear Algebra, Matlab, Algorithms

  • Status: Preview

    Skills you'll gain: Augmented Reality, Augmented and Virtual Reality (AR/VR), Application Design, Virtual Environment, 3D Assets, Unity Engine, Mobile Development, User Experience, Computer Vision, User Interface and User Experience (UI/UX) Design, User Flows

  • Status: Free Trial

    Skills you'll gain: Tensorflow, Computer Vision, Image Analysis, Keras (Neural Network Library), Deep Learning, Artificial Neural Networks, Artificial Intelligence, Machine Learning

  • Status: Free Trial

    Columbia University

    Skills you'll gain: Computer Vision, Image Analysis, Dimensionality Reduction, Artificial Neural Networks, Unsupervised Learning, Deep Learning, Graph Theory, Machine Learning Algorithms, Machine Learning, Linear Algebra

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