Jun 12, 2020
It was very informative, the instructor paces the information very well, & I love the resources at the end of every lecture.\n\nthe last project section was very well done & explained in detail.
Oct 02, 2018
Amazing lectures! Detailed description of each topic coupled with mind blowing graded assignments! :)\n\nThanks a real bunch, Coursera for offering this courses & of course, scholarship!
교육 기관: Dr. S T•
Apr 29, 2018
Good Introductory course for those from a business background. But if you have technical skills, then probably another course (Machine Learning from Andrew Ng may be a better one).
교육 기관: NICOLAS J•
Oct 22, 2018
Content is complete and cover a huge scope. Improvement could come from using the Tensor flow earlier in the course to get better representation of the outcome and more hands on.
교육 기관: Ankita P•
May 20, 2019
An interesting and comprehensive study on DL. It was very thorough with great examples and proper demonstration of technologies used behind everyday objects.
교육 기관: Swapnil B•
Jul 26, 2018
Excellent course for the beginners. I have got good opportunity to learn the basics of Deep Leaning. My suggestion would be to include practical examples.
교육 기관: Erwin P P C•
May 07, 2020
Very good course to prepare for what is coming about IoT, IA, ML and DL, many concepts have been cleared for me, thanks Professor Jong.
교육 기관: Mario B•
May 05, 2020
Concise and focused on main concepts. Perhaps some more examples on CNN and RNN would be useful to understand better those topics.
교육 기관: CARLOS O D L•
Aug 22, 2019
I appreciated the most when the Deep Learning models where graphicaly presented. I found them very useful and easy to understand.
교육 기관: Ahasanul B H•
Jun 17, 2019
Valoi...Keu loite chaile loibar paros. Learned a lot a new things. Thanks to yonsei university and coursera for this course.
교육 기관: Victor C•
May 04, 2018
It was a good introduction and overview to some of key underlying technologies in Machine Learning. Thank you.
교육 기관: Llewellyn•
May 05, 2018
Excellent content, very up to date information. Thank you for the quality introduction to the future.
교육 기관: Krzysztof B•
Jul 09, 2018
Great knowledge and really good explanation, but no practice exercises with examples from our live
교육 기관: Ramesh•
Aug 26, 2019
It gives very high level overview about the tool and platforms available in the AI, ML, DL field.
교육 기관: Jose A V•
Apr 01, 2018
good bsaic concepts. I would probably include some more videos on concrete business applications
교육 기관: Aseem C•
Aug 10, 2018
The coverage is vast and subject itself is abstract. However it was a great learning experience.
교육 기관: Ivan T•
Jul 06, 2020
Prof Jong-Moon Chung kept the lessons short and sweet thus making it easier to understand.
교육 기관: Derek B•
Aug 21, 2018
Good course, quite technical with a lot of focus on the underlying methodology.
교육 기관: HUBER H M•
May 17, 2020
Great course because is a generaldescription de aplication and methods the RNN
교육 기관: Lai y c•
Jan 05, 2019
it can be more implement course not only tell us the information .
교육 기관: Julian D C L•
Oct 13, 2019
Hace falta algún ejercicio práctico así sea sencillo
교육 기관: Aydin A•
Dec 15, 2017
it's really great for beginner in machine learning.
교육 기관: Andres f m m•
Sep 19, 2019
seria bueno que fuera mas practico
교육 기관: Duvan E G G•
Oct 18, 2019
A good introduction to IA, ML, DL
교육 기관: marco a h g•
Dec 09, 2017
교육 기관: Rolf J•
Aug 16, 2019
It is a pretty interesting course, but in terms of pedagogical value it is not that great. It focuses way too much on description (which could easily be gleaned from the internet) instead of explanations. After the course I googled some of the stuff covered (such as CNN and RNN) and found explanations which really make you understand how it works, why it works and what it does. That is not achieved with this course.
교육 기관: Raviteja P•
Mar 10, 2019
Many terms are introduced, but some of them are not for beginner level, there was coverage of many things but core aspect how we can connect the dots of deep learning with business problems is not very clear and simple. It can be improved by relevant examples of problem statements and how each solution type like CNN, RNN is utilized for such scenarios.