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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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18 calificaciones
7 reseña

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 - 7 de 7 revisiones para Diabetic Retinopathy Detection with Artificial Intelligence

por Pavan k

26 de mar. de 2021

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

por ESTIBALIZ D

8 de abr. de 2021

very practical also informative.

por Pranjali A

21 de dic. de 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.

por Hualai T

29 de mar. de 2021

Too short, wish that this project can expand into more details.

por Asutosh B

13 de sep. de 2021

T​he 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.

por Reem A

13 de jul. de 2021

thank you

por Edward N

9 de sep. de 2021

a1