It is cool to walk through the CheXNet model and implement it. I am motivated to check out the original paper and train the model on my computer later. But since the remaining two courses are too bad, I only give 3 stars for this course.

Hi Sir/Madam,

i took this course then realised it is beyond my understanding. I am a grade 12 student . please help me to cancel this ,so, i can take another course which can benefit me.

i will appreciate your help.

thanking you

The final assignments should included end to end projects like e.g. hypertuning of parameters.

Most of the utility code especially for understanding the entire image from patch is not clear and should be explained separately.

Too much task was given but less explanation. It was really hard to complete all the tasks. It would be better if easiest tasks are given or more explanation with huge explanation.

Expected content that would be new but found content which I was already familiar with. Disappointed a little on that. Course could have some more interesting and new content.

Good instructor but concepts were not taught in-depth. The assignments gave only a superficial understanding of the subject and cannot prepare one for working in the industry.

The course touches on several aspects of ML for medical. However, the content seems too little and narrow. Only a few cases and architectures are explored.

Out dated course, they should have give more information on how to train model locally then just giving the weights and finished with the assignment.

Would like it if the projects were more in-depth. We should understand the end-to-end pipeline: from preprocessing to deploying in production

Some concepts used in the assignments are note explained in the videos e. g. the calculation of AUC.

Its a good introduction course, but it spends alot of time going over a lot general concepts.

The lectures are good, but I experienced many issues on homeworks.

Content is too shallow, could have gone deeper into some topics.

The codes should have be explained ...

Too general for practical usage

not a deep course. very basic

good as an introduction

Fairly shallow.

I first took Deep Learning Specialization by Andrew and then took NLP specialization by Younes Mourri and then this course. One difference I noticed that Andrew explained all the stuff by himself in detailed 8-10 min video and here these in these two coursers, the two instructor explained concept in 1-2 min video and left the remaining concept to learned by ourselves through notebooks. Andrew put much more effort than these two guys.

Did a good job of explaining some of the terms and processes involved in using AI for medical diagnosis, but the flow and organization of the course were really poor and the methods taught were not general enough to be able to extrapolate to use in new ways outside of the course.

I had enrolled as a medical specialist but wasn't mentioned at start before purchase that coding is essential to complete assignments hence waisted my efforts and energy

This course is a waste of time and money. I had to pay to enroll because I do not have Coursera Plus. I went through the entire course in a matter of a day. The videos did not have enough detail/information and things were not explained clearly. On top of that there are "labs" that cannot be done unless you "upgrade" your Coursera to Plus. This means that I have to spend even more money to complete this course and get a certificate. I do not think its worth all the money that I had to spend on this course. Also, I do not have access to the discussion forum to ask for help with this course. So I was forced to write a review and rate it. I have taken so many courses on here that gives you certificate and never reviewed them because they were perfect. This is a course that is frustrating. I wish I could finish it without having to upgrade my Coursera so I could earn the certificate. I only have three more items to complete but I guess I will have to just leave it as it is.