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: Free Trial

    Skills you'll gain: Tensorflow, Supervised Learning, Artificial Neural Networks, Regression Analysis, Applied Machine Learning, Machine Learning Algorithms, Deep Learning, IBM Cloud, Machine Learning, Predictive Modeling, Decision Tree Learning, Natural Language Processing, Scikit Learn (Machine Learning Library), Computer Vision, Data Science, Python Programming

  • Skills you'll gain: Image Analysis, Applied Machine Learning, Deep Learning, Computer Vision, Artificial Neural Networks, Machine Learning Methods, Data Processing, Performance Tuning, Regression Analysis

  • Skills you'll gain: Kubernetes, Image Analysis, Application Deployment, Containerization, Google Cloud Platform, Cloud Applications, Cloud API, Computer Vision, Application Development, Web Applications

  • Skills you'll gain: Tensorflow, Data Collection, Image Analysis, Artificial Neural Networks, Deep Learning, Computer Vision, Google Cloud Platform, Cloud Computing, Scientific Visualization

  • Status: Preview

    Skills you'll gain: Computer Vision, Keras (Neural Network Library), Image Analysis, Deep Learning, Artificial Neural Networks, Tensorflow, Dimensionality Reduction, Visualization (Computer Graphics), Applied Machine Learning, Network Architecture, Algorithms

  • Skills you'll gain: PyTorch (Machine Learning Library), Artificial Neural Networks, Image Analysis, Deep Learning, Computer Vision

  • Status: Free Trial

    University of Illinois Urbana-Champaign

    Skills you'll gain: Deep Learning, Health Informatics, Image Analysis, Generative Model Architectures, Machine Learning, Applied Machine Learning, Health Care, Artificial Neural Networks, Supervised Learning, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, Graph Theory, Computer Vision, Tensorflow, PyTorch (Machine Learning Library), Predictive Modeling, Medical Science and Research, Unsupervised Learning, Program Development, Big Data

  • Status: Free

    Skills you'll gain: LLM Application, Generative AI, Natural Language Processing, Multimodal Prompts, Application Deployment, Open Source Technology, Applied Machine Learning, Image Analysis, User Interface (UI), Computer Vision

  • Skills you'll gain: Image Analysis, Cloud API, Google Cloud Platform, Applied Machine Learning, Computer Vision, Application Programming Interface (API), Machine Learning

  • Status: Preview

    Korea Advanced Institute of Science and Technology(KAIST)

    Skills you'll gain: Artificial Intelligence, Materials science, Image Analysis, Computer Vision, Manufacturing Processes, Machine Learning, Deep Learning

  • Skills you'll gain: Applied Machine Learning, Cloud API, Natural Language Processing, Text Mining, Image Analysis, Cloud-Based Integration, Computer Vision, Network Analysis, Web Design

  • Status: Free Trial

    Skills you'll gain: Generative AI, LLM Application, Large Language Modeling, Generative Model Architectures, Tensorflow, ChatGPT, OpenAI, Natural Language Processing, Artificial Intelligence and Machine Learning (AI/ML), Responsible AI, Prompt Engineering, Applied Machine Learning, Machine Learning, Deep Learning, Machine Learning Algorithms, Computer Vision, Predictive Modeling, Supervised Learning, Text Mining, Image Analysis

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