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  • Convolution And Deconvolution

Results for "convolution and deconvolution"


  • U

    University of Colorado System

    Linear Kalman Filter Deep Dive (and Target Tracking)

    Skills you'll gain: Markov Model, Estimation, Mathematical Modeling, Correlation Analysis, Matlab, Linear Algebra, Predictive Analytics, Numerical Analysis, Applied Mathematics, Time Series Analysis and Forecasting, Probability Distribution, Statistical Inference, Probability & Statistics

    ★ 5 (6) · Intermediate · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • C

    Coursera

    Visualizing Filters of a CNN using TensorFlow

    Skills you'll gain: Tensorflow, Convolutional Neural Networks, Applied Machine Learning, Image Analysis, Python Programming, Jupyter, Artificial Neural Networks, Deep Learning, Software Visualization, Machine Learning

    ★ 4.4 (84) · Intermediate · Guided Project · Less Than 2 Hours

    Category: Free
    Free
    Category: Credit offered
    Credit offered
  • 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

    Category: Preview
    Preview
    Category: Credit offered
    Credit offered
  • P

    Packt

    Mastering Image Segmentation with PyTorch

    Skills you'll gain: Image Analysis, Convolutional Neural Networks, Model Evaluation, Applied Machine Learning, Deep Learning, Model Training, Model Optimization, Computer Vision, Artificial Neural Networks, Machine Learning Methods, Data Preprocessing, Data Processing, Network Architecture

    Beginner · Course · 1 - 4 Weeks

    Category: Credit offered
    Credit offered
  • D

    DeepLearning.AI

    Convolutional Neural Networks in TensorFlow

    Skills you'll gain: Convolutional Neural Networks, Transfer Learning, Model Evaluation, Tensorflow, Keras (Neural Network Library), Model Training, Computer Vision, Fine-tuning, Classification Algorithms, Image Analysis, Applied Machine Learning, Deep Learning, Model Optimization, Machine Learning, Data Preprocessing

    ★ 4.7 (8.2K) · Intermediate · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • 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, Augmented and Virtual Reality (AR/VR), Augmented Reality, Artificial Intelligence and Machine Learning (AI/ML), Autoencoders, Applied Machine Learning, Unsupervised Learning, Machine Learning Methods

    ★ 4.9 (7) · Intermediate · Course · 1 - 4 Weeks

    Category: Preview
    Preview
    Category: Build toward a degree
    Build toward a degree
  • D

    DeepLearning.AI

    Quantization in Depth

    Skills you'll gain: Model Optimization, PyTorch (Machine Learning Library), Model Deployment

    ★ 4.7 (6) · Intermediate · Project · Less Than 2 Hours

    Category: Free
    Free
    Category: Credit offered
    Credit offered
  • U

    University of Illinois Urbana-Champaign

    Finance of Mergers and Acquisitions: Valuation and Pricing

    Skills you'll gain: Mergers & Acquisitions, Business Valuation, Private Equity, Price Negotiation, Financial Analysis, Financial Statement Analysis, Investment Banking, Financial Modeling, Cost Benefit Analysis, Return On Investment, Capital Markets, Bidding, Corporate Finance, Corporate Strategy, Market Dynamics, Market Data, Cash Flows, Financial Forecasting, Cash Flow Forecasting, Consolidation

    ★ 4.7 (310) · Intermediate · Course · 1 - 3 Months

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • P

    Packt

    Deep Learning - Computer Vision for Beginners Using PyTorch

    Skills you'll gain: PyTorch (Machine Learning Library), Computer Vision, NumPy, Matplotlib, Convolutional Neural Networks, Deep Learning, Pandas (Python Package), Image Analysis, Model Optimization, Python Programming, Data Manipulation, Model Training

    Intermediate · Course · 1 - 3 Months

    Category: Credit offered
    Credit offered
  • U

    University of Colorado System

    Particle Filters (and Navigation)

    Skills you'll gain: Bayesian Network, Numerical Analysis, Markov Model, Estimation, Simulations, Integral Calculus, Matlab, Mathematical Modeling, Applied Mathematics, Engineering Analysis, Algorithms

    ★ 4.8 (6) · Intermediate · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • G

    Google Cloud

    Introduction to Convolutions with TensorFlow

    Skills you'll gain: Convolutional Neural Networks, Tensorflow, Image Analysis, Computer Vision, Feature Engineering, Google Cloud Platform, Cloud Computing

    Intermediate · Project · Less Than 2 Hours

    Category: Credit offered
    Credit offered
  • C

    Columbia University

    Features and Boundaries

    Skills you'll gain: Image Analysis, Computer Vision, Classification Algorithms, Algorithms, Machine Learning Algorithms

    ★ 4.8 (54) · Beginner · Course · 1 - 3 Months

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
1…789…834

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

  • Linear Kalman Filter Deep Dive (and Target Tracking): University of Colorado System
  • Visualizing Filters of a CNN using TensorFlow: Coursera
  • Traitement d'images : analyse fréquentielle et multi-échelle: Institut Mines-Télécom
  • Mastering Image Segmentation with PyTorch: Packt
  • Convolutional Neural Networks in TensorFlow: DeepLearning.AI
  • Visión artificial contemporánea: Universidad de los Andes
  • Quantization in Depth: DeepLearning.AI
  • Finance of Mergers and Acquisitions: Valuation and Pricing: University of Illinois Urbana-Champaign
  • Deep Learning - Computer Vision for Beginners Using PyTorch: Packt
  • Particle Filters (and Navigation): University of Colorado System

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