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    • Vision

    Vision Courses Online

    Explore vision science for understanding visual perception. Learn about the anatomy and physiology of the eye and visual processing.

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    Explore the Vision Course Catalog

    • Status: Preview
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      D

      DeepLearning.AI

      الشبكات العصبونية الالتفافية

      Skills you'll gain: Image Analysis, Computer Vision, Deep Learning, Artificial Neural Networks, Machine Learning Methods, Network Model, Network Architecture, Algorithms

      Intermediate · Course · 1 - 4 Weeks

    • Status: Preview
      Preview
      U

      Universidad de los Andes

      Introducción al deep learning contemporáneo

      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

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      8 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      Università di Napoli Federico II

      Python per la Data Science

      Skills you'll gain: PyTorch (Machine Learning Library), NumPy, Image Analysis, Pandas (Python Package), Matplotlib, Artificial Neural Networks, Deep Learning, Computer Vision, Keras (Neural Network Library), Jupyter, Data Manipulation, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Python Programming, Data Science, Scikit Learn (Machine Learning Library)

      4.3
      Rating, 4.3 out of 5 stars
      ·
      9 reviews

      Intermediate · Course · 1 - 3 Months

    • G

      Google Cloud

      Classify Images of Cats and Dogs using Transfer Learning

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

      Beginner · Project · Less Than 2 Hours

    • Status: Preview
      Preview
      I

      Imperial College London

      TensorFlow 2 시작하기

      Skills you'll gain: Keras (Neural Network Library), Tensorflow, Deep Learning, Data Validation, Predictive Modeling, Supervised Learning, Applied Machine Learning, Artificial Neural Networks, Computer Vision, Jupyter

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Challenges of Leading Technical Teams

      Skills you'll gain: Technical Management, Engineering Management, Meeting Facilitation, Decision Making, Team Leadership, Team Building, Team Management, Organizational Leadership, Leadership, Goal Setting, Discussion Facilitation, Delegation Skills, Communication, Recruitment

      Build toward a degree

      4.7
      Rating, 4.7 out of 5 stars
      ·
      14 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Preview
      Preview
      U

      University of Colorado Boulder

      컴퓨터 비전 분야에서의 딥 러닝 응용 사례

      Skills you'll gain: Image Analysis, Tensorflow, Computer Vision, Deep Learning, Machine Learning, Artificial Neural Networks, Performance Tuning, Artificial Intelligence and Machine Learning (AI/ML), Computer Graphics, Network Architecture

      Intermediate · Course · 1 - 3 Months

    • Status: Preview
      Preview
      D

      DeepLearning.AI

      AI、機械学習、ディープラーニングのための TensorFlow 入門

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

      Intermediate · Course · 1 - 4 Weeks

    • Status: Preview
      Preview
      C

      Coursera Instructor Network

      Game Development: HTML to Unreal Engine Mastery

      Skills you'll gain: Unreal Engine, Game Design, Video Game Development, Software Design, HTML and CSS, User Interface (UI), Animations, Debugging, Computing Platforms

      4.6
      Rating, 4.6 out of 5 stars
      ·
      11 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Preview
      Preview
      U

      University of Washington

      머신 러닝 기초: 사례 연구 접근 방식

      Skills you'll gain: Regression Analysis, Applied Machine Learning, Machine Learning, Deep Learning, Jupyter, Classification And Regression Tree (CART), Supervised Learning, Predictive Modeling, Predictive Analytics, Artificial Intelligence, Unsupervised Learning, Computer Vision, Text Mining, Natural Language Processing, Data Mining

      Mixed · Course · 1 - 3 Months

    • G

      Google Cloud

      Create a Cosmetic Anomaly Detection Model using Visual Inspection AI

      Skills you'll gain: Anomaly Detection, Image Analysis, Google Cloud Platform, Computer Vision, Data Import/Export, Applied Machine Learning, Predictive Modeling, Data Management

      Beginner · Project · Less Than 2 Hours

    • Status: New
      New
      Status: Preview
      Preview
      N

      Northeastern University

      Generative AI: Foundations and Concepts

      Skills you'll gain: Generative AI, Generative Model Architectures, Artificial Neural Networks, Deep Learning, Bayesian Network, Mathematical Modeling, Computer Vision, Estimation, Applied Mathematics, Machine Learning, Network Architecture, Probability Distribution, Calculus

      Intermediate · Course · 1 - 4 Weeks

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    In summary, here are 10 of our most popular vision courses

    • الشبكات العصبونية الالتفافية: DeepLearning.AI
    • Introducción al deep learning contemporáneo: Universidad de los Andes
    • Python per la Data Science: Università di Napoli Federico II
    • Classify Images of Cats and Dogs using Transfer Learning: Google Cloud
    • TensorFlow 2 시작하기: Imperial College London
    • Challenges of Leading Technical Teams: University of Colorado Boulder
    • 컴퓨터 비전 분야에서의 딥 러닝 응용 사례: University of Colorado Boulder
    • AI、機械学習、ディープラーニングのための TensorFlow 入門: DeepLearning.AI
    • Game Development: HTML to Unreal Engine Mastery: Coursera Instructor Network
    • 머신 러닝 기초: 사례 연구 접근 방식: University of Washington

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