It was a nice course. Though it covers basics. A follow-up advanced specilization can be made. Overall, it's sufficient for beginner for an engineer trying to learn application of AI for medical field
Throughout this course, I was able to understand the different medical and deep learning terminology used. Definitely a good course to understand the basic of image classification and segmentation!
By Vignesh S•
A very well structured course that covers most of the practical design challenges of deep learning applications in healthcare sector. A good foundation for people who want to pursue a career as a Machine Learning Engineer for medical diagnosis and/or computer vision.
By Endre S•
Great course! Although the coding exercises focus more on lower level details of matrix manipulation, and not on the parts for selecting a model, building and training it. Most of the model related code is provided if form of utility code or as pretrained weights.
By hasti g•
I enjoyed taking this course. It would be great if assignments could be debuged, I tried downloading the assignments to debug using vscode but some parts of the assignments(datasets or some functions) were not there to be downloaded.
By Chad H•
This was a great course for getting a high-level understanding of AI's applications in medical diagnosis.
The only issue is that the assignments are auto-graded which, coupled with bugs, can make submitting assignments very frustrating.
By Pierre G•
Great but 1) all notebooks must be moved to Tensorflow 2 and Pytorch 2) it's not a Deep Learning course but a data course (for people who want to really understand the classification/Unet models, they need to study another DL course)
By Denizhan E•
Course data and related util files with reasonable explanations will make this course magnificent. I spent a lot of time figuring out differences while I try it in my local engine due to version differences.
By Lee Z Y•
Pleasant pacing, very clear and concise lecture material. I was really frustrated with the final assignment though. Would be nice if the grader gives something more instructive than correct/incorrect.
By ADITYA K•
A good course to understand the use of Deep Learning and AI in Medical Diagnosis. In this course, you can understand different ways to segment and analyze the images of brain tumors and X-Rays.
By Kiran C•
Use cases selected were really nice, Videos should carry more detail technical aspects and could be bit more lengthy and Assignments should consider multiple options to solve given problem
By Anditya A•
too little explanation in the exercises,
definitely not for beginner,
this is an expert class course,
even an experienced student, who's familiar with tensorflow might struggle a bit
By Pooja A•
A good course with challenging assignments. However, the assignments could have been a little less self explanatory and should have triggered deeper and more individualistic thinking.
By Stephan P C•
The assignments are extremely simple; mostly just implementing an equation in Python. The rest of the notebooks are basically readings. Maybe give a little more coding practice.
By Ameera A•
The course is build in a way makes it easy to learn. I liked how the assignments had been built and the way of grading quizzes
I think we need a special course for U Net
By Philip J S•
Very abstracted and high level course, no "intution" presented compared to Machine Learning of Andrew Ng; Nevertheless, still a great course for AI in Healthcare
By Chakkarapani V•
This course is a good starter for applications on AI on medicine. I enjoyed. But I felt there can me little more explanations instead of a very short videos.
By Soham T•
The course content was great and all theoretical concepts were clearly explained but, the instructions in the programming assignments were a bit unclear.
By Nikolaos N T•
Getting the right code for week3 assignment was really time-consuming - still have not found what was the error giving me the standardize function
By Ravi P B•
Nice course to learn basics of machine learning as well as get your hands dirty with application of artificial intelligence to medical diagnosis.
By Muhammed A•
it's good, I expected it to be richer, but I guess there's no much development in that area to teach currently, I hope it will evolve with time
By Галинская Т В•
There were a lot of problems when I was completing the programming task in week 3. I Think that many points are not sufficiently explained.
By Quoc D N•
The lectures are great, but the labs could use more practicing/exercises than just reading a notebook already filled with code that works.
By Nada S•
So nice and complete. May be some programming assignments need to be more clearer or explained, but over all; great course. Thank you.
By Kabakov B•
It is so much better than courses from NLP specialization. But still too many "translate well-known formulae to python code" tasks.
By Praneet S•
last assignment of week 3 of this course is quite difficult to understand so I feel few more explanation should be mentioned
By Taiki H•
More detailed skills like data converion would be desirable, but still good starting point for beginners. Thanks!