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  • Convolution And Deconvolution

Results for "convolution and deconvolution"


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    DeepLearning.AI

    Mathematics for Machine Learning and Data Science

    Skills you'll gain: Descriptive Statistics, Bayesian Statistics, Statistical Hypothesis Testing, Probability & Statistics, Sampling (Statistics), Probability Distribution, Linear Algebra, Statistical Inference, A/B Testing, Statistical Analysis, Applied Mathematics, NumPy, Probability, Calculus, Dimensionality Reduction, Numerical Analysis, Machine Learning Algorithms, Data Preprocessing, Machine Learning, Machine Learning Methods

    4.6
    Rating, 4.6 out of 5 stars
    ·
    3.1K reviews

    Intermediate · Specialization · 1 - 3 Months

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    University of Colorado System

    Applied Kalman Filtering

    Skills you'll gain: Bayesian Network, Linear Algebra, Numerical Analysis, Matlab, Statistical Modeling, Simulations, Estimation, Advanced Mathematics, Mathematical Modeling, Statistical Analysis, Time Series Analysis and Forecasting, Probability & Statistics, Forecasting, Applied Mathematics, Statistical Methods, Predictive Analytics, Predictive Modeling, Engineering Analysis, Control Systems, Probability

    4.9
    Rating, 4.9 out of 5 stars
    ·
    29 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
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    É

    École Polytechnique Fédérale de Lausanne

    Digital Signal Processing

    Skills you'll gain: Digital Signal Processing, Digital Communications, Communication Systems, Image Analysis, Telecommunications, Electrical and Computer Engineering, Electrical Engineering, Embedded Systems, Electronic Systems, Engineering Analysis, Electronics, Programming Principles, Numerical Analysis, Algorithms, Linear Algebra, Systems Of Measurement, Mathematical Modeling, Time Series Analysis and Forecasting, Jupyter, Data Mapping

    4.5
    Rating, 4.5 out of 5 stars
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    797 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
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    M

    MathWorks

    MathWorks Computer Vision Engineer

    Skills you'll gain: Computer Vision, Model Evaluation, Image Analysis, Model Deployment, Anomaly Detection, Convolutional Neural Networks, Transfer Learning, Deep Learning, Machine Learning Methods, Image Quality, Data Preprocessing, Artificial Neural Networks, Matlab, Applied Machine Learning, PyTorch (Machine Learning Library), Machine Learning, Classification Algorithms, Artificial Intelligence and Machine Learning (AI/ML), Traffic Flow Optimization, Data Visualization

    4.7
    Rating, 4.7 out of 5 stars
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    350 reviews

    Beginner · Professional Certificate · 3 - 6 Months

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    I

    IBM

    Deep Learning with PyTorch

    Skills you'll gain: PyTorch (Machine Learning Library), Deep Learning, Convolutional Neural Networks, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, Applied Machine Learning, Supervised Learning, Logistic Regression, Classification Algorithms, Model Evaluation

    4.5
    Rating, 4.5 out of 5 stars
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    79 reviews

    Intermediate · Course · 1 - 3 Months

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    I

    Imperial College London

    TensorFlow 2 for Deep Learning

    Skills you'll gain: Tensorflow, Recurrent Neural Networks (RNNs), Autoencoders, Generative Model Architectures, Data Pipelines, Keras (Neural Network Library), Model Evaluation, Deep Learning, Image Analysis, Transfer Learning, Convolutional Neural Networks, Applied Machine Learning, Bayesian Statistics, Supervised Learning, Natural Language Processing, Computer Vision, Model Deployment, Artificial Neural Networks, Data Preprocessing, Probability Distribution

    4.8
    Rating, 4.8 out of 5 stars
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    719 reviews

    Intermediate · Specialization · 3 - 6 Months

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    MathWorks

    Computer Vision for Engineering and Science

    Skills you'll gain: Computer Vision, Image Analysis, Model Evaluation, Deep Learning, Matlab, Machine Learning Methods, Convolutional Neural Networks, Data Preprocessing, Machine Learning, Classification Algorithms, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Algorithms, Transfer Learning, Geospatial Information and Technology, Traffic Flow Optimization, Medical Imaging, Data Validation, Estimation, Algorithms

    4.6
    Rating, 4.6 out of 5 stars
    ·
    91 reviews

    Intermediate · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    M

    MathWorks

    Deep Learning for Computer Vision

    Skills you'll gain: Model Evaluation, Computer Vision, Model Deployment, Anomaly Detection, Convolutional Neural Networks, Image Analysis, Transfer Learning, Matlab, Deep Learning, Artificial Neural Networks, Applied Machine Learning, PyTorch (Machine Learning Library), Data Preprocessing, Classification Algorithms, Data Visualization, Data Synthesis, Performance Tuning, Data Analysis

    4.9
    Rating, 4.9 out of 5 stars
    ·
    34 reviews

    Beginner · Specialization · 1 - 3 Months

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    D

    DeepLearning.AI

    Convolutional Neural Networks

    Skills you'll gain: Convolutional Neural Networks, Computer Vision, Image Analysis, Transfer Learning, Deep Learning, Artificial Neural Networks, Keras (Neural Network Library), Tensorflow, PyTorch (Machine Learning Library), Data Preprocessing

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

    Intermediate · Course · 1 - 4 Weeks

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    M

    MathWorks

    Image Processing for Engineering and Science

    Skills you'll gain: Image Analysis, Image Quality, Matlab, Computer Vision, Traffic Flow Optimization, Automation, Digital Signal Processing, Anomaly Detection, Spatial Data Analysis, Geospatial Information and Technology, Medical Imaging, Spatial Analysis, Data Preprocessing, Quantitative Research, Algorithms, Data Store

    4.8
    Rating, 4.8 out of 5 stars
    ·
    244 reviews

    Beginner · Specialization · 1 - 3 Months

  • I

    IBM

    Introduction to Computer Vision and Image Processing

    Skills you'll gain: Computer Vision, Convolutional Neural Networks, Transfer Learning, Model Evaluation, Machine Learning Methods, Classification Algorithms, Machine Learning Algorithms, Visualization (Computer Graphics), Deep Learning, Feature Engineering, Network Architecture

    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 Object Detection

    Skills you'll gain: Computer Vision, Model Evaluation, Image Analysis, Convolutional Neural Networks, Deep Learning, Matlab, Data Preprocessing, Data Visualization, Transfer Learning, Applied Machine Learning, Data Analysis

    4.9
    Rating, 4.9 out of 5 stars
    ·
    13 reviews

    Beginner · Course · 1 - 4 Weeks

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

  • Mathematics for Machine Learning and Data Science: DeepLearning.AI
  • Applied Kalman Filtering: University of Colorado System
  • Digital Signal Processing: École Polytechnique Fédérale de Lausanne
  • MathWorks Computer Vision Engineer: MathWorks
  • Deep Learning with PyTorch: IBM
  • TensorFlow 2 for Deep Learning: Imperial College London
  • Computer Vision for Engineering and Science: MathWorks
  • Deep Learning for Computer Vision: MathWorks
  • Convolutional Neural Networks: DeepLearning.AI
  • Image Processing for Engineering and Science: MathWorks

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