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  • Convolution And Deconvolution

Results for "convolution and deconvolution"


  • Status: New
    New
    Status: Free Trial
    Free Trial
    E

    EDUCBA

    Image Classification with Keras: Build & Optimize

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

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    M

    MathWorks

    Image Processing for Engineering and Science

    Skills you'll gain: Image Analysis, Image Quality, Matlab, Computer Vision, Automation, Anomaly Detection, Spatial Data Analysis, Data Processing, Engineering Practices, Water Sustainability, Medical Imaging, Spatial Analysis, Data Manipulation, Exploratory Data Analysis, Histogram, Quantitative Research, Data Analysis Software, Analysis, Data Import/Export, Algorithms

    4.8
    Rating, 4.8 out of 5 stars
    ·
    234 reviews

    Beginner · Specialization · 1 - 3 Months

  • I

    IBM

    Introduction to Computer Vision and Image Processing

    Skills you'll gain: Computer Vision, Jupyter, Deep Learning

    4.3
    Rating, 4.3 out of 5 stars
    ·
    1.4K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    M

    MathWorks

    Deep Learning for Computer Vision

    Skills you'll gain: Computer Vision, Anomaly Detection, Image Analysis, Matlab, Deep Learning, Artificial Neural Networks, Unsupervised Learning, Application Deployment, PyTorch (Machine Learning Library), Data Visualization, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, Data Synthesis, Performance Tuning, Data Analysis, Classification And Regression Tree (CART), Data Validation, Medical Imaging

    4.9
    Rating, 4.9 out of 5 stars
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    32 reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    M

    MathWorks

    Computer Vision for Engineering and Science

    Skills you'll gain: Computer Vision, Image Analysis, Deep Learning, Matlab, Applied Machine Learning, Machine Learning, Motion Graphics, Supervised Learning, Predictive Modeling, Artificial Intelligence and Machine Learning (AI/ML), Visualization (Computer Graphics), Geospatial Information and Technology, Data Integration, Medical Imaging, Data Validation, Estimation, Machine Learning Methods, Performance Tuning, Algorithms

    4.6
    Rating, 4.6 out of 5 stars
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    90 reviews

    Intermediate · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Convolutional Neural Networks

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

    4.9
    Rating, 4.9 out of 5 stars
    ·
    43K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Probability & Statistics for Machine Learning & Data Science

    Skills you'll gain: Descriptive Statistics, Bayesian Statistics, Statistical Hypothesis Testing, Probability & Statistics, Sampling (Statistics), Probability Distribution, Probability, Statistical Inference, A/B Testing, Statistical Analysis, Statistical Machine Learning, Data Science, Exploratory Data Analysis, Statistical Visualization

    4.6
    Rating, 4.6 out of 5 stars
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    644 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    M

    MathWorks

    Introduction to Image Processing

    Skills you'll gain: Image Analysis, Image Quality, Matlab, Computer Vision, Spatial Data Analysis, Data Processing, Water Sustainability, Data Manipulation, Exploratory Data Analysis, Histogram, Quantitative Research, Analysis, Data Import/Export, Metadata Management, Algorithms

    4.8
    Rating, 4.8 out of 5 stars
    ·
    195 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Deep Learning with Keras and Tensorflow

    Skills you'll gain: Keras (Neural Network Library), Reinforcement Learning, Unsupervised Learning, Deep Learning, Tensorflow, Machine Learning Methods, Generative AI, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Natural Language Processing, Performance Tuning

    4.4
    Rating, 4.4 out of 5 stars
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    1K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    M

    MathWorks

    Deep Learning for Object Detection

    Skills you'll gain: Computer Vision, Image Analysis, Deep Learning, Matlab, Data Visualization, Machine Learning Methods, Data Analysis, Data Validation

    4.9
    Rating, 4.9 out of 5 stars
    ·
    13 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Linear Algebra for Machine Learning and Data Science

    Skills you'll gain: Linear Algebra, NumPy, Dimensionality Reduction, Machine Learning Methods, Data Transformation, Data Manipulation, Data Science, Applied Mathematics, Mathematical Modeling, Machine Learning, Python Programming

    4.6
    Rating, 4.6 out of 5 stars
    ·
    2.2K reviews

    Intermediate · Course · 1 - 4 Weeks

  • 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

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

  • Image Classification with Keras: Build & Optimize: EDUCBA
  • Image Processing for Engineering and Science: MathWorks
  • Introduction to Computer Vision and Image Processing: IBM
  • Deep Learning for Computer Vision: MathWorks
  • Computer Vision for Engineering and Science: MathWorks
  • Convolutional Neural Networks: DeepLearning.AI
  • Probability & Statistics for Machine Learning & Data Science: DeepLearning.AI
  • Introduction to Image Processing: MathWorks
  • Deep Learning with Keras and Tensorflow: IBM
  • Deep Learning for Object Detection: MathWorks

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