This is a Deep Learning image classification model which classifies Malarial cells into parasitized and unparasitized cells. We feed in a dataset of Images with labels: unparasitized(1) and parasitized(0) and train the model to predict a new image as 0 or 1. We test the Neural Network with different formats and monitor its performance as we play around with things a little bit.
The Neural Network architecture is as follows:
To dowload the Dataset goto the link : https://www.kaggle.com/datasets/iarunava/cell-images-for-detecting-malaria or : https://lhncbc.nlm.nih.gov/LHC-downloads/downloads.html#malaria-datasets