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  • Convolution And Deconvolution

Results for "convolution and deconvolution"


  • Status: Free Trial
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    D

    DeepLearning.AI

    Convolutional Neural Networks in TensorFlow

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

    4.7
    Rating, 4.7 out of 5 stars
    ·
    8.2K 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, Computer Vision, Deep Learning, Software Visualization, Machine Learning

    4.9
    Rating, 4.9 out of 5 stars
    ·
    23 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Calculus for Machine Learning and Data Science

    Skills you'll gain: Applied Mathematics, Calculus, Numerical Analysis, Mathematical Modeling, Machine Learning, Python Programming, Regression Analysis, Artificial Neural Networks, Deep Learning, Derivatives

    4.8
    Rating, 4.8 out of 5 stars
    ·
    918 reviews

    Intermediate · 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
    ·
    352 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Preview
    Preview
    S

    Sungkyunkwan University

    Fundamentals of CNNs and RNNs

    Skills you'll gain: Image Analysis, Computer Vision, Artificial Neural Networks, Natural Language Processing, Deep Learning, Network Model, Machine Learning

    4.4
    Rating, 4.4 out of 5 stars
    ·
    39 reviews

    Beginner · Course · 1 - 3 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
    ·
    9 reviews

    Beginner · Course · 3 - 6 Months

  • 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

    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
    ·
    1K reviews

    Intermediate · Course · 1 - 3 Months

  • 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: New
    New
    Status: Free Trial
    Free Trial
    P

    Pearson

    Learning Deep Learning: Unit 2

    Skills you'll gain: PyTorch (Machine Learning Library), Tensorflow, Natural Language Processing, Image Analysis, Deep Learning, Computer Vision, Artificial Neural Networks, Machine Learning Methods, Time Series Analysis and Forecasting, Forecasting, Network Architecture

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    É

    École Polytechnique Fédérale de Lausanne

    Digital Signal Processing 3: Analog vs Digital

    Skills you'll gain: Digital Communications, Electrical and Computer Engineering, Communication Systems, Electronic Systems, Electronics Engineering, Telecommunications, Linear Algebra, Calculus, Applied Mathematics

    4.8
    Rating, 4.8 out of 5 stars
    ·
    90 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    É

    École Polytechnique Fédérale de Lausanne

    Digital Signal Processing 2: Filtering

    Skills you'll gain: Digital Communications, Communication Systems, Electrical and Computer Engineering, Telecommunications, Electronic Systems, Electronics, Engineering Analysis, Engineering Calculations, Numerical Analysis, Linear Algebra, Applied Mathematics, Algorithms, Data Mapping, Real Time Data

    4.7
    Rating, 4.7 out of 5 stars
    ·
    193 reviews

    Intermediate · Course · 1 - 4 Weeks

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

  • Convolutional Neural Networks in TensorFlow: DeepLearning.AI
  • Medical Image Processing: MathWorks
  • Calculus for Machine Learning and Data Science: DeepLearning.AI
  • Detección de objetos: Universitat Autònoma de Barcelona
  • Fundamentals of CNNs and RNNs: Sungkyunkwan University
  • Computer Vision: YOLO Custom Object Detection with Colab GPU: Packt
  • Computer Vision Basics: University at Buffalo
  • Deep Learning with Keras and Tensorflow: IBM
  • Introducción al deep learning contemporáneo: Universidad de los Andes
  • Learning Deep Learning: Unit 2: Pearson

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