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Volver a Diabetic Retinopathy Detection with Artificial Intelligence

Opiniones y comentarios de aprendices correspondientes a Diabetic Retinopathy Detection with Artificial Intelligence por parte de Coursera Project Network

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Acerca del Curso

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....

Principales reseñas

AB

12 de sep. de 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.

GK

25 de mar. de 2021

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

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1 - 10 de 10 revisiones para Diabetic Retinopathy Detection with Artificial Intelligence

por Pavan k

26 de mar. de 2021

por Hualai T

29 de mar. de 2021

por ESTIBALIZ D

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por Pranjali A

21 de dic. de 2020

por Paul M

14 de mar. de 2022

por Megan D

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por Asutosh B

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por Reem A

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por Edward N

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por Karthik K

14 de sep. de 2022