AM
Nov 22, 2017
I learned so many things in this module. I learned that how to do error analysys and different kind of the learning techniques. Thanks Professor Andrew Ng to provide such a valuable and updated stuff.
JB
Jul 1, 2020
While the information from this course was awesome I would've liked some hand on projects to get the information running. Nonetheless, the two simulation task were the best (more would've been neat!).
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".