Malaria Detection

Inspiration

I was inspired to create this model for a personal challenge. My goal was to create the most accurate model I could, and the model was successful in impressing me.

What it does

It detects malaria in cells and it includes a demo GUI for visualizing this.

How I built it

I built it with Tensorflow 2 and Keras. I also used a GTX 1080 for training the model.

Challenges I ran into

I had to modify the dense layers various times to reduce overfitting, which occurred very quickly.

What I learned

I learned more about convolutional neural networks and how to design them. I also made various models, and I tested different pre-trained models with transfer learning.