Back to Detecting COVID-19 with Chest X-Ray using PyTorch
Learner Reviews & Feedback for Detecting COVID-19 with Chest X-Ray using PyTorch by Coursera Project Network
291 ratings
About the Course
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.
Top reviews
Oct 5, 2020
Excellent course.\n\nMy special thanks goes to Coursera and course supervisor
Oct 4, 2020
KUDOS TO THE INSTRUCTOR FOR A COMPREHENSIVE GUIDED MODULE.
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