RK
2 de jul de 2020
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
KH
26 de mai de 2020
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!
por Paul L J H
•13 de mai de 2021
The course is of a certain degree of difficulties especially the labs. But I think it is an overall good learning experience.
por Moustafa S
•8 de jul de 2020
great course, perfectly organized and have a lot of infos about computer vision and how to tackle 3D images and segmentation
por Gudivada R K
•15 de mai de 2020
Quite interesting topics to learn and the exercises are really good. It could have been better with lecture notes/ slides.
por Rakshit S
•21 de set de 2020
Learned a lot about Segmentation and nitty-gritty of how we can can leverage deep learning technique in medical industry
por ayyüce k
•16 de mai de 2020
It was an amazing experience for me, thank you for all the information! I am proud of a part of the deeplearning.ai team.
por xuantong Y
•1 de abr de 2021
This course is fabulous, encouraging with high-quality material. Everyone who has an interest should enroll in this one.
por Stacy A
•10 de jun de 2020
Great real life examples. Explained in a very simple to understand way even for someone without any industry background.
por Parin K
•27 de abr de 2020
Very good one. However, it required intermediate python programming skill to fully understand and complete this course.
por Mohamed S E
•13 de abr de 2021
Very good overview with focus on realistic challenges with clear description of their origins and also their solutions
por Zanyu S
•18 de jan de 2021
Good instructor, detailed instruction, and prepared materials, but a huge difficult leap the final assignment project.
por Karun T
•29 de jun de 2020
Excellent introduction to AI in Medicine, with lots of good hands on exercises. Looking forward to Courses 2 and 3 now
por Sunil R
•15 de mai de 2020
Good course. Would highly recommend as a starter course for people looking at getting started in AI for Medical field.
por Dawid D
•26 de abr de 2020
Amazing course, I wish it was available a few years ago as it would help me a lot so far! Anyway, really worth taking.
por Sanjeevi G
•22 de mai de 2021
Course was very helpful to understand the classification problem and image tumor segmentation in real medical world
por Olivia M R
•19 de mai de 2020
Amazing method to really learn a LOT! Enjoyed the scope and the application of AI. More like this specialization
por Ankur K A
•6 de mai de 2020
Awesome course and i learned a lot from this course related to medical image preprocessing and other techniques.
por Shiva N R
•10 de mai de 2020
Thanks for the great course, it gave me the well needed boost to start learning AI applications for Medicine.
por Livanos G
•22 de abr de 2020
Interesting course with substantive descriptions in many aspects of hands on machine learning implementation.
por Mario A C S
•25 de jul de 2020
Excellent course, very useful to tackle practical aspects of deep learning application in real world models.
por Dong Z
•3 de nov de 2020
very detailed explanation with hands on guided project! Never had one bad class comes from Deeplearning.ai!
por Neelkant N
•4 de ago de 2021
I have learnt a lot from this course. This course is both theortical + Practical . Which didn't bored me.
por Satyam S
•28 de mai de 2020
Excellent Course for Medical Image analysis using CNN and U-net with simple formulae evaluation with code
por Sendo T
•15 de mai de 2020
Very good and a step-by-step instruction and exercise is leading to a deeper and practical undersatnding.
por Jaisil R D
•1 de jun de 2020
I really loved this course!!! I learnt a lot !!! Surely this course would help me to finish my project!!
por Abhay S
•21 de mai de 2020
It was an amazing course and taught me how to implement deep learning concepts in the field of medicine.