Diabetic Retinopathy Detection with Artificial Intelligence

About this guided project

In this project, we will train deep neural network model based on Convolutional Neural Networks (CNNs) and Residual Blocks to detect the type of Diabetic Retinopathy from images. Diabetic Retinopathy is the leading cause of blindness in the working-age population of the developed world and estimated to affect over 347 million people worldwide. Diabetic Retinopathy is disease that results from complication of type 1 & 2 diabetes and can develop if blood sugar levels are left uncontrolled for a prolonged period of time. With the power of Artificial Intelligence and Deep Learning, doctors will be able to detect blindness before it occurs.

What skills will you gain?

Deep Learning

Artificial Intelligence and Machine Learning (AI/ML)

Computer Vision

Artificial Neural Networks

Tensorflow

Applied Machine Learning

Artificial Intelligence

Keras (Neural Network Library)