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  • Image Classification

Image Classification Courses

Image classification courses can help you learn techniques for identifying and categorizing images, building neural networks, and implementing convolutional neural networks (CNNs). You can also develop skills in data preprocessing, model evaluation, and performance optimization. Many courses introduce tools like TensorFlow and PyTorch, that support training models and deploying AI applications.

Popular Image Classification Courses and Certifications


  • Status: Free Trial
    Free Trial
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    Columbia University

    Features and Boundaries

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

    4.8
    Rating, 4.8 out of 5 stars
    ·
    54 reviews

    Beginner · Course · 1 - 3 Months

  • Status: New
    New
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    E

    EDUCBA

    Build Real-Time Face Recognition with OpenCV

    Skills you'll gain: Model Training, System Design and Implementation

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    M

    MathWorks

    Low Code Image Segmentation

    Skills you'll gain: Image Analysis, Matlab, Computer Vision, Color Theory, Automation Engineering

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    Classification Trees in Python, From Start To Finish

    Skills you'll gain: Classification And Regression Tree (CART), Decision Tree Learning, Data Preprocessing, Data Transformation, Supervised Learning, Predictive Modeling, Feature Engineering, Scikit Learn (Machine Learning Library), Classification Algorithms, Applied Machine Learning, Model Evaluation, Model Training

    4.6
    Rating, 4.6 out of 5 stars
    ·
    233 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: New
    New
    Status: Preview
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    Cleveland Clinic

    Computer Vision and Sequence Analysis in Machine Learning

    Skills you'll gain: Convolutional Neural Networks, Transfer Learning, Predictive Modeling, Applied Machine Learning, Biomedical Engineering, Model Evaluation, Markov Model, Health Informatics, Data Structures

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Classify Radio Signals with PyTorch

    Skills you'll gain: PyTorch (Machine Learning Library), Transfer Learning, Fine-tuning, Convolutional Neural Networks, Digital Signal Processing, Model Training, Image Analysis, Classification Algorithms, Model Evaluation, Deep Learning, Computer Vision, Telecommunications

    3.7
    Rating, 3.7 out of 5 stars
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    12 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
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    DeepLearning.AI

    Apply Generative Adversarial Networks (GANs)

    Skills you'll gain: Generative Adversarial Networks (GANs), Generative AI, PyTorch (Machine Learning Library), Generative Model Architectures, Image Analysis, Responsible AI, Data Ethics, Model Training, Image Quality, Information Privacy, Data Synthesis

    4.8
    Rating, 4.8 out of 5 stars
    ·
    548 reviews

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Explainable AI: Scene Classification and GradCam Visualization

    Skills you'll gain: Model Evaluation, Keras (Neural Network Library), Deep Learning, Model Training, Convolutional Neural Networks, Image Analysis, Tensorflow, Computer Vision, Applied Machine Learning, Predictive Modeling, Spatial Data Analysis, Machine Learning, Data Preprocessing, Python Programming

    4.6
    Rating, 4.6 out of 5 stars
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    59 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free
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    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
    Free Trial
    I

    IBM

    AI Workflow: Machine Learning, Visual Recognition and NLP

    Skills you'll gain: Model Evaluation, Tensorflow, Model Training, Supervised Learning, Model Optimization, Artificial Neural Networks, Regression Analysis, Applied Machine Learning, Statistical Machine Learning, Machine Learning Algorithms, Deep Learning, Image Analysis, Machine Learning, Random Forest Algorithm, AI Workflows, Decision Tree Learning, Natural Language Processing, Scikit Learn (Machine Learning Library), Data Science, Python Programming

    4.4
    Rating, 4.4 out of 5 stars
    ·
    98 reviews

    Advanced · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    E

    EDUCBA

    Image Captioning with TensorFlow & Streamlit

    Skills you'll gain: Amazon Elastic Compute Cloud, Cloud Deployment, Amazon Web Services, Model Deployment, Application Deployment, Tensorflow, Image Analysis, Convolutional Neural Networks, Token Optimization, Feature Engineering, Data Preprocessing, Deep Learning, Model Training, Data Processing, Recurrent Neural Networks (RNNs), Data Cleansing, Model Evaluation

    Mixed · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
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    Coursera

    Optimizing and Deploying Computer Vision Models

    Skills you'll gain: Model Evaluation, Model Training, Image Analysis, Model Optimization, Computer Vision, Model Deployment, Image Quality, MLOps (Machine Learning Operations), Data Analysis, Deep Learning, Exploratory Data Analysis, Failure Analysis, Data Preprocessing, Workflow Management, AI Workflows, Data Transformation, Experimentation, Performance Analysis, Data Manipulation, Performance Metric

    Intermediate · Course · 1 - 3 Months

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In summary, here are 10 of our most popular image classification courses

  • Features and Boundaries: Columbia University
  • Build Real-Time Face Recognition with OpenCV: EDUCBA
  • Low Code Image Segmentation: MathWorks
  • Classification Trees in Python, From Start To Finish: Coursera
  • Computer Vision and Sequence Analysis in Machine Learning: Cleveland Clinic
  • Classify Radio Signals with PyTorch: Coursera
  • Apply Generative Adversarial Networks (GANs): DeepLearning.AI
  • Explainable AI: Scene Classification and GradCam Visualization: Coursera
  • Aerial Image Segmentation with PyTorch: Coursera
  • AI Workflow: Machine Learning, Visual Recognition and NLP: IBM

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