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.
51credentials
8online degrees
208courses

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Find the best Computer Vision course for your goals

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    DeepLearning.AI

    Skills you'll gain: Deep Learning, Artificial Neural Networks, Supervised Learning, Computer Vision, Python Programming, Machine Learning, NumPy, Performance Tuning, Linear Algebra, Calculus

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    Johns Hopkins University

    Skills you'll gain: Responsible AI, Data Ethics, Artificial Neural Networks, Deep Learning, Machine Learning Algorithms, Reinforcement Learning, Generative AI, Debugging, Artificial Intelligence, Unsupervised Learning, Machine Learning, Computer Vision, Image Analysis, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, Applied Machine Learning, Algorithms, Bayesian Statistics, Network Architecture, Linear Algebra

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    Skills you'll gain: Deep Learning, Image Analysis, Computer Vision, PyTorch (Machine Learning Library), Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Tensorflow, Applied Machine Learning, Machine Learning, Supervised Learning, Machine Learning Algorithms, Data Processing, Linear Algebra, Network Architecture

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