Chevron Left
Back to Diabetic Retinopathy Detection with Artificial Intelligence

Learner Reviews & Feedback for Diabetic Retinopathy Detection with Artificial Intelligence by Coursera Project Network

34 ratings

About the Course

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....

Top reviews


Sep 12, 2021

The course is very nicely explained. I would recommend this project for those who have some prior experience in Python and CNN to try out this exciting real world project.


Mar 25, 2021

Well Instructed Project. Step by step explanation and analysis of every problem is simply excellent. Highly recommended project.

Filter by:

1 - 10 of 10 Reviews for Diabetic Retinopathy Detection with Artificial Intelligence

By Pavan k

Mar 26, 2021

By Hualai T

Mar 29, 2021

By Paul M

Mar 14, 2022


Apr 8, 2021

By Pranjali A

Dec 21, 2020

By Megan D

Dec 21, 2021

By Asutosh B

Sep 13, 2021

By Reem A

Jul 13, 2021

By Edward N

Sep 9, 2021

By Karthik K

Sep 14, 2022