Image Analysis

Image Analysis is a technique that enables computers to interpret and make decisions based on visual data. Coursera's Image Analysis skill catalogue teaches you how to enable computers to extract valuable insights from images or videos. You'll learn techniques ranging from simple image processing, object and feature detection, image segmentation to complex methods for object recognition, image synthesis, and 3D vision. Gain a deeper understanding of convolutional neural networks, deep learning, and computer vision models. This skill can be applied in various fields such as healthcare, autonomous vehicles, surveillance, and social media.
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Explore the Image Analysis Course Catalog

  • Status: Free Trial

    Skills you'll gain: Machine Learning Algorithms, Computer Vision, Image Analysis, Applied Machine Learning, Machine Learning, Artificial Intelligence, Civil Engineering, Tensorflow, Automation, Computer Engineering, Engineering Software, Deep Learning, Artificial Neural Networks, Oil and Gas, Electrical Engineering, Mechanical Engineering, Predictive Modeling, Data Processing

  • Skills you'll gain: LangChain, LLM Application, Real Time Data, Application Frameworks, Document Management, Data Store, Data Quality, Image Analysis

  • Status: Preview

    Skills you'll gain: Deep Learning, Generative Model Architectures, Image Analysis, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Computer Vision, Network Architecture, Natural Language Processing, Machine Learning Algorithms, Time Series Analysis and Forecasting

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

  • Skills you'll gain: Google Gemini, Multimodal Prompts, Query Languages, Data Manipulation, Data Store, Metadata Management, Text Mining, Cloud API, Generative AI, Google Cloud Platform, Image Analysis, Cloud Computing, Artificial Intelligence

  • Status: Free Trial

    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, Bayesian Statistics, Network Architecture, Linear Algebra, Markov Model

  • Status: Preview

    Skills you'll gain: Generative AI, Image Analysis, Application Deployment, Computer Vision, Visualization (Computer Graphics), Cloud Computing, Deep Learning, Supervised Learning

  • Status: Free Trial

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

  • Status: Free Trial

    Skills you'll gain: Tensorflow, Artificial Neural Networks, Deep Learning, Keras (Neural Network Library), Image Analysis, Classification And Regression Tree (CART), Supervised Learning, Machine Learning, NumPy

  • Status: Free Trial

    Skills you'll gain: Keras (Neural Network Library), Deep Learning, Tensorflow, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Machine Learning Methods, Image Analysis, Computer Vision, Data Processing

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

  • Skills you'll gain: Tensorflow, Image Analysis, Keras (Neural Network Library), Applied Machine Learning, Google Cloud Platform, Deep Learning, Computer Vision, Machine Learning

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  • Google Cloud
  • DeepLearning.AI
  • Packt
  • Johns Hopkins University
  • MathWorks
  • University of Colorado Boulder
  • Pearson
  • Duke University