Diabetic Retinopathy Detection with Artificial Intelligence(으)로 돌아가기
Coursera Project Network의 Diabetic Retinopathy Detection with Artificial Intelligence 학습자 리뷰 및 피드백
14개의 평가
강좌 소개
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.
최상위 리뷰
필터링 기준:
Diabetic Retinopathy Detection with Artificial Intelligence의 5개 리뷰 중 1~5
교육 기관: Pavan k
•2021년 3월 26일
Well Instructed Project. Step by step explanation and analysis of every problem is simply excellent. Highly recommended project.
교육 기관: ESTIBALIZ D
•2021년 4월 8일
very practical also informative.
교육 기관: Hualai T
•2021년 3월 29일
Too short, wish that this project can expand into more details.
교육 기관: Reem A
•2021년 7월 13일
thank you
교육 기관: Pranjali A
•2020년 12월 21일
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.
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