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Отзывы учащихся о курсе Detecting COVID-19 with Chest X-Ray using PyTorch от партнера Coursera Project Network

4.5
звезд
Оценки: 299
Рецензии: 33

О курсе

In this 2-hour long guided project, we will use a ResNet-18 model and train it on a COVID-19 Radiography dataset. This dataset has nearly 3000 Chest X-Ray scans which are categorized in three classes - Normal, Viral Pneumonia and COVID-19. Our objective in this project is to create an image classification model that can predict Chest X-Ray scans that belong to one of the three classes with a reasonably high accuracy. Please note that this dataset, and the model that we train in the project, can not be used to diagnose COVID-19 or Viral Pneumonia. We are only using this data for educational purpose. Before you attempt this project, you should be familiar with programming in Python. You should also have a theoretical understanding of Convolutional Neural Networks, and optimization techniques such as gradient descent. This is a hands on, practical project that focuses primarily on implementation, and not on the theory behind Convolutional Neural Networks. Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions....

Лучшие рецензии

KO
5 окт. 2020 г.

Excellent course.\n\nMy special thanks goes to Coursera and course supervisor

AM
4 окт. 2020 г.

KUDOS TO THE INSTRUCTOR FOR A COMPREHENSIVE GUIDED MODULE.

Фильтр по:

1–25 из 35 отзывов о курсе Detecting COVID-19 with Chest X-Ray using PyTorch

автор: TUSHAR S

28 авг. 2020 г.

It's a nice project, but I think more explanation about the concepts (ex- imagenet dataset, restnet18 model, etc.) must be provided to make the understanding more clearer.

автор: Iryna D

23 авг. 2020 г.

Lecturer needs to let students know how to access dataset and code from in the beginning of the video lecture. It was hard to find code/ data download website

автор: Robertsen P S

3 авг. 2020 г.

Overall, the material it's very challenging for me because I haven't used PyTorch before. In the beginning, I feel this course is very hard, but after I completed the course, I understand what the instructor wants. Nice.

автор: Harshwardhan P

30 авг. 2020 г.

Please stop using Rhyme for these projects. It's an absolutely horrible experience.

автор: PALASH C

29 июля 2020 г.

could explain more about pytorch

автор: Asad E

13 янв. 2021 г.

Worst course I have ever taken on Coursera by far....The instructor just writes his code line by line without explaining much about the concepts and the models he uses. If you have already some Pytorch experience, this course might add value to you but if you have some basic experience with Python (pandas, numpy, sklearn, matplotlib), this course will not take your ML skills to the next level.

автор: Alique Z

1 янв. 2021 г.

This is great work from Amit. Every step is thoroughly explained. Although this is not at all a beginner level project, and one should only undertake it if they want to practice Convolutional Neural Networks specifically. Great project.

автор: Kolawole E O

6 окт. 2020 г.

Excellent course.

My special thanks goes to Coursera and course supervisor

автор: BRIAN P M

5 окт. 2020 г.

KUDOS TO THE INSTRUCTOR FOR A COMPREHENSIVE GUIDED MODULE.

автор: PRANAV S G

17 сент. 2020 г.

The course is excellent but try to change the remote access of Rhyme, it is just a big disappointment in the whole course. I learned this course to enrich my knowledge in Python for the detection of disease using Deep learning and Machine Learning techniques.

автор: Tanvir I k

16 сент. 2020 г.

Explanation is sometimes not clear enough. There was more room for clear explanation. But if you have patience you can complete it since it is a small project.

автор: Ali A H

20 янв. 2021 г.

This is the worst course I take. It is expired before I complete the course. I couldn't download my work on the cloud space. I didn't know in advance that the course will expire within a specific time. Udmey is much better. They respect their students more.

автор: Hrishika R

6 сент. 2020 г.

It was not challenging enough to hone the skills .

автор: Suhaimi C

16 янв. 2021 г.

Great Guided Project. Loved this awesome course. I learned a lot in using python and pytorch to read, train and cross-validate/test the data until it meets the given criteria. Amit Yadav is a great instructor with good explanation of the codes. Highly recommend taking this project to further improve your learning and practice what you learned.

автор: Akshat G

8 сент. 2020 г.

got a good idea of pytorch framework

автор: Gujarati M

26 июля 2020 г.

Great experience with pyTorch

автор: navneet P

16 сент. 2020 г.

It's one of the best courses

автор: Moritz K

7 авг. 2021 г.

N​ice and concise course

автор: Farzona M

31 июля 2020 г.

thanks you very much

автор: KARTIK G

15 авг. 2020 г.

Great Course.

автор: W.G I C W

7 авг. 2020 г.

Super program

автор: chava v

23 нояб. 2020 г.

good project

автор: SHIZA M

27 июля 2020 г.

Good Course

автор: Jesus M Z F

27 июля 2020 г.

Good course

автор: PODUGU S C

9 окт. 2020 г.

excellent