In this kaggle kernel I used a very interesting dataset of Malaria Cell images along with a CNN to classify malaraia cells at a 95% accuracy. With Keras and TensorFlow I was able to construct a model that was able to accuractly detect malaria within cell images.
- Keras
- TensorFlow
- Data Augmentation
- Convolutional Neural Network
- Callbacks
If you would like to visit the kaggle kernel in which I created my submission for the competition it can be found here: https://www.kaggle.com/twhitehurst3/keras-malaraia-detection-95-acc/data
