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学生对 Coursera Project Network 提供的 Diabetic Retinopathy Detection with Artificial Intelligence 的评价和反馈

34 个评分


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....



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.


1 - Diabetic Retinopathy Detection with Artificial Intelligence 的 10 个评论(共 10 个)

创建者 Pavan k

Mar 26, 2021

创建者 Hualai T

Mar 29, 2021

创建者 Paul M

Mar 14, 2022


Apr 8, 2021

创建者 Pranjali A

Dec 21, 2020

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Dec 21, 2021

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Sep 13, 2021

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Jul 13, 2021

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Sep 9, 2021

创建者 Karthik K

Sep 14, 2022