🎉 Hold on to your hats, folks, because I've got a story for you! 📖
Once upon a time, in the midst of a global pandemic 🌍😷, a passionate student of Artificial Intelligence 👨💻🤖🔍 was looking for a way to contribute to society and help out in any way they could. And that's when they stumbled upon a dataset of chest X-rays 💻📷
The student realized that this dataset could be used to train an image classification model that could help diagnose COVID-19, Viral Pneumonia, and Normal chest X-rays with high accuracy 📈👨⚕️
And so, during the pandemic, the student took on the challenge of creating and training a ResNet-18 model using PyTorch 🚀💻🔍 They divided their project into several tasks, from importing libraries to visualizing data to training the model itself ⚙️🎨🎉
The project, therefore, aims to create an image classification model that can predict Chest X-Ray scans that belong to one of the three classes with high accuracy.
🔍 Task 1: Introduction 💻 Task 2: Importing Libraries 📷 Task 3: Creating Custom Dataset 🎨 Task 4: Image Transformations 🚚 Task 5: Prepare DataLoader 📈 Task 6: Data Visualization 🤖 Task 7: Creating the Model ⚙️ Task 8: Training the Model 🎉 Task 9: Final Results
And now, here we are, with a powerful image classification model that can help diagnose COVID-19 and other chest X-ray abnormalities with high accuracy 💪👨⚕️📈
So let's give it up for our dedicated AI student, who used their skills to make a difference during a difficult time 🙌👏👨💻🤖