Detecting COVID-19 with Chest X-Ray using PyTorch
In this 2-hour long guided project, we will use a ResNet-18 model and train it on a COVID-19 Radiography dataset. This dataset has nearly 3000 Chest X-Ray scans which are categorized in three classes - Normal, Viral Pneumonia and COVID-19. Our objective in this project is to create an image classification model that can predict Chest X-Ray scans that belong to one of the three classes with a reasonably high accuracy. Please note that this dataset, and the model that we train in the project, can not be used to diagnose COVID-19 or Viral Pneumonia.
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- Level Professional
- المدة 3 ساعات hours
- الطبع بواسطة Coursera Project Network
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In this 2-hour long guided project, we will use a ResNet-18 model and train it on a COVID-19 Radiography dataset. This dataset has nearly 3000 Chest X-Ray scans which are categorized in three classes - Normal, Viral Pneumonia and COVID-19. Our objective in this project is to create an image classification model that can predict Chest X-Ray scans that belong to one of the three classes with a reasonably high accuracy. Please note that this dataset, and the model that we train in the project, can not be used to diagnose COVID-19 or Viral Pneumonia. We are only using this data for educational purpose. Before you attempt this project, you should be familiar with programming in Python. You should also have a theoretical understanding of Convolutional Neural Networks, and optimization techniques such as gradient descent. This is a hands on, practical project that focuses primarily on implementation, and not on the theory behind Convolutional Neural Networks. Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.الوحدات
Detecting COVID-19 with Chest X-Ray using PyTorch
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Assignment
- Graded Quiz: Test your Project Understanding
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Labs
- Detecting COVID-19 with Chest X-Ray using PyTorch
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- Project-based Course Overview
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Explore the "Detecting COVID-19 with Chest X-Ray using PyTorch" course, designed for IT and Computer Science enthusiasts. In this 2-hour guided project by Coursera, you'll train a ResNet-18 model on a dataset of nearly 3000 Chest X-Ray scans to classify Normal, Viral Pneumonia, and COVID-19 images. Ideal for learners familiar with Python and Convolutional Neural Networks, this hands-on project emphasizes practical implementation. Best suited for North American learners with a Starter subscription, it offers a professional-level challenge. Join now to enhance your image classification skills with PyTorch!
Amit Yadav