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.
TS
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.
EK
Excellent course.My special thanks goes to Coursera and course supervisor
BM
KUDOS TO THE INSTRUCTOR FOR A COMPREHENSIVE GUIDED MODULE.
ID
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
TJ
Good explanations + code. Everything so smooth and understandable. Great lector!
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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
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.
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.
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.
could explain more about pytorch
I already bought the project before and completed it. But i cannot access it now! It says i have to buy again the project ! what is going on! Is this some scam!
Please stop using Rhyme for these projects. It's an absolutely horrible experience.
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.
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.
Excellent course.
My special thanks goes to Coursera and course supervisor
KUDOS TO THE INSTRUCTOR FOR A COMPREHENSIVE GUIDED MODULE.
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.
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.
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.
It was not challenging enough to hone the skills .
Good explanations + code. Everything so smooth and understandable. Great lector!
got a good idea of pytorch framework
Great experience with pyTorch
It's one of the best courses
Nice and concise course