This project is about using Pytorch for 2D MRI image classification using transfer learning with Resnet34 with a testing accuracy is 98%.

The images are downloaded from Kaggle. These images will be classified into four categories, including

NOD: Non Demented,
VMD: Very Mild Demented,
MID: Mild Demented,
MOD: Moderate Demented. \

Index	Description	Jupiter notebook	Content	data
1	Val_accuracy: 0.98 Testing accuracy: 0.68 😢	01_Resrnet34.ipynb	Download data split to train, val, test Train with Resnet34 Testing evaluation Reasoning	org_day
2	Val_accuracy: 0.99 Testing accuracy: 0.98 😃 Is this approach ok? 🤔	02_Resnet34.ipynb	Combine data Split data Train model Evaluate the model	allnew

For utility functions, please see mymodulo.py