Diabetic Retinopathy Detection with Artificial Intelligence に戻る
Coursera Project Network による Diabetic Retinopathy Detection with Artificial Intelligence の受講者のレビューおよびフィードバック
34件の評価
コースについて
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.
人気のレビュー
AB
2021年9月12日
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.
GK
2021年3月25日
Well Instructed Project. Step by step explanation and analysis of every problem is simply excellent. Highly recommended project.
フィルター：
Diabetic Retinopathy Detection with Artificial Intelligence： 1 - 10 / 10 レビュー
by Pavan k
•2021年3月26日
by Hualai T
•2021年3月29日
by ESTIBALIZ D
•2021年4月8日
by Pranjali A
•2020年12月21日
by Paul M
•2022年3月14日
by Megan D
•2021年12月21日
by Asutosh B
•2021年9月13日
by Reem A
•2021年7月13日
by Edward N
•2021年9月9日
by Karthik K
•2022年9月14日
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