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  • Convolution And Deconvolution

Results for "convolution+and+deconvolution"


  • Status: Free Trial
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    É

    École Polytechnique Fédérale de Lausanne

    Digital Signal Processing 2: Filtering

    Skills you'll gain: Digital Signal Processing, Digital Communications, Communication Systems, Telecommunications, Numerical Analysis, Systems Analysis, Jupyter

    4.7
    Rating, 4.7 out of 5 stars
    ·
    197 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    U

    Universidad de los Andes

    Visión artificial contemporánea

    Skills you'll gain: Computer Vision, Vision Transformer (ViT), Convolutional Neural Networks, Image Analysis, Generative AI, Deep Learning, Generative Model Architectures, Generative Adversarial Networks (GANs), Augmented and Virtual Reality (AR/VR), Augmented Reality, Artificial Intelligence and Machine Learning (AI/ML), Autoencoders, Applied Machine Learning, Unsupervised Learning, Machine Learning Methods

    Build toward a degree

    4.9
    Rating, 4.9 out of 5 stars
    ·
    7 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: Generative AI, Tensorflow, Autoencoders, Generative Model Architectures, Bayesian Network, Deep Learning, Image Analysis, Bayesian Statistics, Model Optimization, Probability Distribution, Model Training, Sampling (Statistics), Data Transformation

    4.7
    Rating, 4.7 out of 5 stars
    ·
    109 reviews

    Advanced · Course · 1 - 3 Months

  • Status: Preview
    Preview
    I

    Institut Mines-Télécom

    Traitement d'images : analyse fréquentielle et multi-échelle

    Skills you'll gain: Image Analysis, Digital Signal Processing, NumPy, Numerical Analysis, Python Programming, Scientific Visualization, Applied Mathematics

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    Imperial College London

    Mathematics for Machine Learning: PCA

    Skills you'll gain: Dimensionality Reduction, NumPy, Data Preprocessing, Unsupervised Learning, Feature Engineering, Jupyter, Statistics, Linear Algebra, Python Programming, Advanced Mathematics, Calculus

    4
    Rating, 4 out of 5 stars
    ·
    3.2K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    P

    Pearson

    Learning Deep Learning: Unit 2

    Skills you'll gain: Recurrent Neural Networks (RNNs), PyTorch (Machine Learning Library), Convolutional Neural Networks, Tensorflow, Transfer Learning, Natural Language Processing, Embeddings, Image Analysis, Deep Learning, Computer Vision, Artificial Neural Networks, Model Training, Time Series Analysis and Forecasting, Generative Model Architectures, Network Architecture

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free
    Free
    C

    Coursera

    Aerial Image Segmentation with PyTorch

    Skills you'll gain: PyTorch (Machine Learning Library), Convolutional Neural Networks, Fine-tuning, Transfer Learning, Model Evaluation, Image Analysis, Model Training, Computer Vision, Applied Machine Learning, Deep Learning, Python Programming

    4
    Rating, 4 out of 5 stars
    ·
    32 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
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    C

    Columbia University

    Visual Perception

    Skills you'll gain: Computer Vision, Image Analysis, Dimensionality Reduction, Artificial Neural Networks, Machine Learning Methods, Graph Theory, Machine Learning Algorithms

    4.6
    Rating, 4.6 out of 5 stars
    ·
    35 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    É

    École Polytechnique Fédérale de Lausanne

    Digital Signal Processing 3: Analog vs Digital

    Skills you'll gain: Digital Signal Processing, Digital Communications, Communication Systems, Electronics, Telecommunications, Linear Algebra

    4.8
    Rating, 4.8 out of 5 stars
    ·
    93 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free
    Free
    C

    Coursera

    Deep Learning with PyTorch : Generative Adversarial Network

    Skills you'll gain: Generative Adversarial Networks (GANs), Generative AI, PyTorch (Machine Learning Library), Generative Model Architectures, Deep Learning, Convolutional Neural Networks, Model Training, Python Programming

    4.5
    Rating, 4.5 out of 5 stars
    ·
    99 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Mastering Neural Networks and Model Regularization

    Skills you'll gain: PyTorch (Machine Learning Library), Convolutional Neural Networks, Deep Learning, Supervised Learning, Model Optimization, Artificial Neural Networks, Model Training, Model Evaluation, Decision Tree Learning, Machine Learning Algorithms, Machine Learning

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

    Skills you'll gain: Model Optimization, Tensorflow, Model Training, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Performance Tuning, Machine Learning Methods, Artificial Neural Networks, Model Evaluation, Applied Machine Learning, Verification And Validation, Debugging

    4.9
    Rating, 4.9 out of 5 stars
    ·
    64K reviews

    Intermediate · Course · 1 - 4 Weeks

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

  • Digital Signal Processing 2: Filtering: École Polytechnique Fédérale de Lausanne
  • Visión artificial contemporánea: Universidad de los Andes
  • Probabilistic Deep Learning with TensorFlow 2: Imperial College London
  • Traitement d'images : analyse fréquentielle et multi-échelle: Institut Mines-Télécom
  • Mathematics for Machine Learning: PCA: Imperial College London
  • Learning Deep Learning: Unit 2: Pearson
  • Aerial Image Segmentation with PyTorch : Coursera
  • Visual Perception: Columbia University
  • Digital Signal Processing 3: Analog vs Digital: École Polytechnique Fédérale de Lausanne
  • Deep Learning with PyTorch : Generative Adversarial Network: Coursera

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