This is jupyter notebook uses two CNN models to detect pneumonia using lung-xrays. There are two CNN models with different filter sizes and each are described in the summary of the model.
The libraries used here are:
"sklearn" for preprocessing and encoding data, "keras" and "tensorflow" for creating and training the model.
The data was used locally here. Dataset Description: It was divided into train, validation and test folders. In each folder the data was divided into folders of respective labels.