- Project description
- Development Tools
- Result and Conclusion
- References
Building a CNN model using transfer learning (DenseNet 201) for malaria detection
- PyTorch Framework
I used DenseNet 201. The accuracy is 98%. VGG19 with accuracy of 93%.
- Kaggle malaria dataset https://www.kaggle.com/iarunava/cell-images-for-detecting-malaria
- Udacity Deep Learning Nanodegree Program