MG
Mar 30, 2020
It is very nice to have a very experienced deep learning practitioner showing you the "magic" of making DNN works. That is usually passed from Professor to graduate student, but is available here now.
ED
Aug 22, 2020
Excellent start for digging into topics that are not taught nowhere else. The author books 'Machine Learning Yearning' is a great next read that goes deeper in some of the aspects, really recommended.
By Hamza M K
•Jul 29, 2018
There is no coding involved in this course but rather gives us insight into the decision making of deep learning
By Trong-Tin D
•Dec 4, 2017
Provide good strategies for building machine learning applications. Team leaders or managers may find it useful.
By Deleted A
•Jun 24, 2023
The questions in the assignment can be thought from a multi-dimensional angle so need to keep them more concise
By Madhav B K
•Jul 12, 2020
More of the theory concept compared to practicals. But the course has many insights how to perform several task
By Aditya B
•Jan 14, 2019
Loved the quizes, but few suggestions, more pop-up quizes after every lecture and more programming assignments.
By Agostino P
•Aug 3, 2020
Course providing a different and complementary perspective with respect to other similar training.
Well done !
By Giuseppe R
•Feb 3, 2019
Very good course, fundamental to have a systematic view of many useful insights for Machine Learning projects.
By Daniel H
•Sep 28, 2018
I wish this week's quiz will also include a programming section that'd show the actual performance difference.
By Nikolai K
•Mar 5, 2023
Lectures are great.
Quiz questions sometimes test one's listening or English skills rather than understanding.
By Aziz B
•Mar 25, 2020
perhaps adding code on how to synthesize images and code examples on dealing with avoidable bias and variance
By Jason D
•Dec 14, 2018
5 start learning with 1 start video editing. An intern and Adobe Premiere with less than a week would fix it!
By Renato R S
•Nov 21, 2017
Very Good, with insights not seem anywhere, but lacking exercises as the others in the specialization track.
By Swann C
•Oct 6, 2017
Very interesting topics so you can move onto managing Deep Learning Project more efficiently, saving time and
By Ahmed D
•Mar 1, 2019
I liked this course less than the others since I found very theoretical and that made me get bored sometimes
By S K R
•Jan 22, 2021
The over all course is good. But you should add some more challenges. Maybe another case study in each week
By Hernan g
•Nov 12, 2020
i would like to have a little more programming assignaments, but the course is so good and really helpfull.
By Lior R
•Feb 8, 2020
very helpfull for projects building and the simple explanations helped me undersatnd the material very well
By akyang
•Aug 7, 2019
Actually, from this course, I learned how to start a machine learning project. I think I need some reviews.
By vishwanathan r
•Nov 1, 2017
There are some errors in some of the videos, either in terms of repeating content or not being able to play
By Sudikshan R
•Sep 10, 2020
It was super interseting and it was fascinating to see how companies approarch error reduction management!
By Hasti K
•Oct 3, 2019
It is a very useful course but I preferred to have a programming assignment as well to try what I learned.
By clayton m
•Sep 14, 2019
Great course to help a practitioner start to develop a core framework for leading a deep learning project.
By Gregg H
•Nov 11, 2017
Shared many themes/slides with the Basic Machine Learning Course by Andrew; Nonetheless, a lot learned :)
By JOSE D J N R
•May 30, 2020
Sometimes interesting, but I would have expected to get more intuition on TensorFlow before this course.
By Michael Z S
•Apr 4, 2020
The study case approach is great.
I recommend doing this course as last of the 5 courses, as a "wrap-up".