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  • Image Segmentation

Image Segmentation Courses

Image segmentation courses can help you learn pixel classification, boundary detection, and object recognition techniques. You can build skills in using convolutional neural networks, understanding image preprocessing methods, and implementing segmentation algorithms. Many courses introduce tools like TensorFlow and OpenCV, that support applying these skills in projects involving computer vision and artificial intelligence.


Popular Image Segmentation Courses and Certifications


  • G

    Google Cloud

    Classify Images with TensorFlow Convolutional Neural Networks

    Skills you'll gain: Convolutional Neural Networks, Tensorflow, Data Collection, Image Analysis, Artificial Neural Networks, Deep Learning, Computer Vision, Model Evaluation, Google Cloud Platform, Cloud Computing, Scientific Visualization

    Beginner · Project · Less Than 2 Hours

  • C

    Coursera

    Débuter avec ImageJ

    Skills you'll gain: Image Analysis, Data Analysis Software, Data Analysis, Scientific Visualization, Histogram, Analysis, Exploratory Data Analysis, Software Installation

    Beginner · Guided Project · Less Than 2 Hours

  • 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, Python Programming, Artificial Neural Networks, Data Manipulation

    Intermediate · Course · 1 - 3 Months

  • 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, Augmented and Virtual Reality (AR/VR), Artificial Intelligence and Machine Learning (AI/ML), Computer Graphics, Autoencoders, Unsupervised Learning, 3D Assets

    Build toward a degree

    4.9
    Rating, 4.9 out of 5 stars
    ·
    7 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    I

    Institut Mines-Télécom

    Traitement d'images : introduction au filtrage

    Skills you'll gain: Image Quality, Image Analysis, Computer Vision, Digital Signal Processing, Python Programming, Computer Programming, Medical Imaging, Mathematics and Mathematical Modeling, Jupyter, Algorithms, Computer Science, Data Import/Export

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Explainable AI: Scene Classification and GradCam Visualization

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

    4.6
    Rating, 4.6 out of 5 stars
    ·
    59 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    S

    Scrimba

    Intro to Dall-E and GPT Vision

    Skills you'll gain: OpenAI API, Image Analysis, Multimodal Prompts, Prompt Engineering, Generative AI, OpenAI, ChatGPT, Vision Transformer (ViT), Computer Vision, Artificial Intelligence

    4.6
    Rating, 4.6 out of 5 stars
    ·
    18 reviews

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Deep Learning with PyTorch : GradCAM

    Skills you'll gain: PyTorch (Machine Learning Library), Convolutional Neural Networks, Heat Maps, Model Evaluation, Image Analysis, Deep Learning, Computer Vision

    4.6
    Rating, 4.6 out of 5 stars
    ·
    21 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Machine Learning with ChatGPT: Image Classification Model

    Skills you'll gain: Model Evaluation, ChatGPT, Keras (Neural Network Library), Applied Machine Learning, Tensorflow, Data Preprocessing, Image Analysis, Machine Learning Methods, Data Import/Export, Machine Learning, Python Programming, Performance Tuning, Artificial Neural Networks

    4.4
    Rating, 4.4 out of 5 stars
    ·
    35 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Preview
    Preview
    I

    Institut Mines-Télécom

    Traitement d'images : analyse fréquentielle et multi-échelle

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

    Intermediate · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Classify Images of Clouds in the Cloud with AutoML Vision

    Skills you'll gain: Model Evaluation, Applied Machine Learning, Google Cloud Platform, Image Analysis, Cloud Computing, Cloud Storage, Predictive Modeling, Data Import/Export

    4.1
    Rating, 4.1 out of 5 stars
    ·
    13 reviews

    Intermediate · Project · Less Than 2 Hours

  • G

    Google Cloud

    Introduction to Convolutions with TensorFlow

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

    Intermediate · Project · Less Than 2 Hours

Searches related to image segmentation

image segmentation, filtering, and region analysis
image segmentation tensorflow
medical image segmentation
deep learning with pytorch : image segmentation
mastering image segmentation with pytorch
1…8910…129

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

  • Classify Images with TensorFlow Convolutional Neural Networks: Google Cloud
  • Débuter avec ImageJ: Coursera
  • Deep Learning - Computer Vision for Beginners Using PyTorch: Packt
  • Visión artificial contemporánea: Universidad de los Andes
  • Traitement d'images : introduction au filtrage: Institut Mines-Télécom
  • Explainable AI: Scene Classification and GradCam Visualization : Coursera
  • Intro to Dall-E and GPT Vision: Scrimba
  • Deep Learning with PyTorch : GradCAM: Coursera
  • Machine Learning with ChatGPT: Image Classification Model: Coursera
  • Traitement d'images : analyse fréquentielle et multi-échelle: Institut Mines-Télécom

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