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Avis et commentaires pour d'étudiants pour Diabetic Retinopathy Detection with Artificial Intelligence par Coursera Project Network

4.4
étoiles
18 évaluations
7 avis

À propos du cours

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....

Meilleurs avis

AB
12 sept. 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 mars 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 sur 7 Avis pour Diabetic Retinopathy Detection with Artificial Intelligence

par Pavan k

26 mars 2021

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

par ESTIBALIZ D

8 avr. 2021

very practical also informative.

par Pranjali A

21 déc. 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.

par Hualai T

29 mars 2021

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

par Asutosh B

13 sept. 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.

par Reem A

13 juil. 2021

thank you

par Edward N

9 sept. 2021

a1