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  • Convolution And Deconvolution

Results for "convolution and deconvolution"


  • Status: Preview
    Preview
    M

    MathWorks

    Medical Image Processing

    Skills you'll gain: Medical Imaging, Magnetic Resonance Imaging, Image Analysis, X-Ray Computed Tomography, Data Import/Export, Biomedical Engineering, Matlab, Visualization (Computer Graphics), Computer Vision, Deep Learning

    4.9
    Rating, 4.9 out of 5 stars
    ·
    23 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    J

    Johns Hopkins University

    Random Processes

    Skills you'll gain: Probability & Statistics, Probability Distribution, Simulations, Statistical Modeling, Estimation, Correlation Analysis, Engineering Analysis, Statistical Analysis, Reliability, Engineering, Spatial Analysis

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Advanced Computer Vision with TensorFlow

    Skills you'll gain: Computer Vision, Tensorflow, Image Analysis, Keras (Neural Network Library), Deep Learning, Visualization (Computer Graphics), Heat Maps, Network Architecture

    4.7
    Rating, 4.7 out of 5 stars
    ·
    527 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Colorado System

    Kalman Filter Boot Camp (and State Estimation)

    Skills you'll gain: Linear Algebra, Mathematical Modeling, Estimation, Matlab, Statistical Modeling, Applied Mathematics, Control Systems, Time Series Analysis and Forecasting, Simulation and Simulation Software, Probability & Statistics, System Implementation, Differential Equations

    4.9
    Rating, 4.9 out of 5 stars
    ·
    19 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
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    N

    Northwestern University

    Fundamentals of Digital Image and Video Processing

    Skills you'll gain: Image Analysis, Digital Communications, Computer Vision, Visualization (Computer Graphics), Medical Imaging, Electrical and Computer Engineering, Telecommunications, Spatial Analysis, Matlab, Mathematical Modeling, Color Theory, Applied Mathematics

    4.6
    Rating, 4.6 out of 5 stars
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    1.8K reviews

    Mixed · Course · 1 - 3 Months

  • Status: Preview
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    U

    UNSW Sydney (The University of New South Wales)

    Remote Sensing Image Acquisition, Analysis and Applications

    Skills you'll gain: Image Analysis, Unsupervised Learning, Geospatial Information and Technology, Computer Vision, Spatial Analysis, Machine Learning, Dimensionality Reduction, Linear Algebra, Deep Learning, Data Validation, Supervised Learning, Probability & Statistics, Artificial Neural Networks

    4.7
    Rating, 4.7 out of 5 stars
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    179 reviews

    Intermediate · Course · 3 - 6 Months

  • P

    Packt

    Computer Vision: YOLO Custom Object Detection with Colab GPU

    Skills you'll gain: Computer Vision, Image Analysis, Google Cloud Platform, Deep Learning, Real Time Data, Python Programming, Applied Machine Learning, Development Environment, Machine Learning Algorithms, Data Processing, Performance Tuning, Data Collection, Software Installation

    3.1
    Rating, 3.1 out of 5 stars
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    9 reviews

    Beginner · Course · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    M

    MathWorks

    Advanced Deep Learning Techniques for Computer Vision

    Skills you'll gain: Anomaly Detection, Image Analysis, Computer Vision, Matlab, Unsupervised Learning, Deep Learning, Application Deployment, PyTorch (Machine Learning Library), Data Synthesis, Medical Imaging

    4.9
    Rating, 4.9 out of 5 stars
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    14 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    U

    Universitat Autònoma de Barcelona

    Detección de objetos

    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

    4.4
    Rating, 4.4 out of 5 stars
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    352 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    M

    MathWorks

    Introduction to Deep Learning for Computer Vision

    Skills you'll gain: Computer Vision, Image Analysis, Matlab, Artificial Neural Networks, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, Performance Tuning, Classification And Regression Tree (CART)

    4.9
    Rating, 4.9 out of 5 stars
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    17 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    U

    University at Buffalo

    Computer Vision Basics

    Skills you'll gain: Computer Vision, Image Analysis, Computer Graphics, Visualization (Computer Graphics), Digital Design, Artificial Intelligence, Applied Machine Learning, Computer Programming, Matlab, Algorithms, Calculus, Probability & Statistics

    4.2
    Rating, 4.2 out of 5 stars
    ·
    1.8K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    Imperial College London

    Probabilistic Deep Learning with TensorFlow 2

    Skills you'll gain: Tensorflow, Generative Model Architectures, Deep Learning, Image Analysis, Bayesian Statistics, Artificial Neural Networks, Machine Learning, Unsupervised Learning, Probability & Statistics, Dimensionality Reduction

    4.7
    Rating, 4.7 out of 5 stars
    ·
    109 reviews

    Advanced · Course · 1 - 3 Months

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In summary, here are 10 of our most popular convolution and deconvolution courses

  • Medical Image Processing: MathWorks
  • Random Processes: Johns Hopkins University
  • Advanced Computer Vision with TensorFlow: DeepLearning.AI
  • Kalman Filter Boot Camp (and State Estimation): University of Colorado System
  • Fundamentals of Digital Image and Video Processing: Northwestern University
  • Remote Sensing Image Acquisition, Analysis and Applications: UNSW Sydney (The University of New South Wales)
  • Computer Vision: YOLO Custom Object Detection with Colab GPU: Packt
  • Advanced Deep Learning Techniques for Computer Vision: MathWorks
  • Detección de objetos: Universitat Autònoma de Barcelona
  • Introduction to Deep Learning for Computer Vision: MathWorks

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