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This is a project for deep learning class where I built a Convolutional neural network for malaria detection from cell images. The solutions to HW for deep learning class 332:435 at Rutgers University can be found below

Home Page: https://github.com/Smeet97Kathiria/DeepLearning--332.435--HW-Solutions

Python 100.00%

machinelearning_malariacnn's Introduction

Malaria_CNNProject

This is a project for deep learning class where I built Convolutional neural network for malaria detection from cell images.

Validation Accuracy - 94.6%

AUC-ROC SCORE - 98%

Training Accuracy - 89.22%

To run the project just run the cnn2 python file.

The dataset used for the project was big so I was not able to upload it.

Step 2 -If you would like to use the same dataset, you can download it from the below link and put it in your project folder

Dataset - https://drive.google.com/open?id=14G9uzCvdvC_N9_QcaMVmcOLbqEuVKxRP

After doing step 2, you can run the cnn2 file again.

Make sure you have all the required libraries installed first.

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