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

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

By Pranjali A

Dec 21, 2020

Instructor could've talked more in depth about the neural networks and how it works. Some parts of the theory and intuition video were confusing.