AM
Oct 8, 2019
I really enjoyed this course. Many details are given here that are crucial to gain experience and tips on things that looks easy at first sight but are important for a faster ML project implementation
AB
Aug 26, 2021
Amazing course which focus on the theoretical part of parameters tuning, but it needs more explanation of Tensorflow, as I felt a little lost in the last project. Except that, it is an amazing course.
By Maisam S W
•Oct 4, 2017
I still find tensorflow hard.
By Andrey L
•Oct 1, 2017
week 2 was extremely boring
By Cheran V
•May 9, 2020
Outdated with Tensorflow 1
By QUINTANA-AMATE, S
•Mar 11, 2018
Again, nice videos but not
By Matthew P
•Sep 3, 2021
Focused a bit on minutia.
By Adam G
•Jul 11, 2020
Multiple grading issues.
By Chaitanya M
•Jul 1, 2020
could be more engaging
By José A G R
•May 23, 2023
Estoy muy emocionada
By Cory N
•Jan 8, 2020
Update for TF2.0 :)
By Алексей А
•Sep 7, 2017
Looks raw yet.
By Ilkhom
•Mar 21, 2019
awful sound
By Akhilesh
•Mar 14, 2018
enjoyed :)
By Sai R
•Nov 10, 2022
Good
By zhesihuang
•Mar 3, 2019
good
By CARLOS G G
•Jul 14, 2018
good
By Hoàng N L
•Feb 12, 2019
N/A
By KimSangsoo
•Sep 17, 2018
괜찮음
By Dave L
•Oct 3, 2024
The videos are good and go into a lot of the details. However, the programming tasks are not very useful. They basically expect you to plug certain lines into an almost complete programme, without really understanding what the individual lines - let alone the rest of the programme - really mean. Also, there is the occasional reference to lecture notes. However, those lecture notes are just the slides that are being used with hand-written annotations on top, and without the accompanying videos, they are not useful.
By Fabrizio N
•Dec 7, 2018
Good course content and clear exposition by Andrew. The course material however is not of a good standard. The slides can be downloaded but after all the hand scribbles by the tutor, they are barely decifrable. Some are just blank pages that need to be filled in with screenshots from of the videos. The assignements are often just a copy and paste exercise, and Jupyter crashes cause frequent loss of work.
By Goda R
•Feb 14, 2020
The video content is very good to get a good hang of theoretical aspects but the programming assignments are too spoon-fed because of which after doing filling the blanks, you don't feel confident enough to implement the same on your own. Instead the assignments should be changed to cases where instructions are given in words and entire function should be implemented by students.
By André Ø
•Nov 30, 2017
The TensorFlow part of the course felt out of place and not of the same quality as the previous material. It would have been better if another week was spent using TensorFlow to actually improving a NN and not just copy-paste an example into the assignment. Even after using TensorFlow in the assigment and passing, working with TensorFlow still
By Sergey K
•Jul 6, 2020
In general the course isn't deep enough. There are no summaries of the lectures, there are no excercises during lectures, the programming assignments are very weak, they don't challenge the use of lectures or anything - all necessary data are in the notebooks. All this course will be lost in a week.
By Ivan I P
•Apr 28, 2023
Sadly the last course assignment didn't compile properly in the sections that were outside the "graded functions" (more specifically in Week 3). Also some of the questions of the quizzes were intentionally misleading but for very unimportant details.
By Cristian G
•Sep 28, 2022
They should improve the programming labs.
There's too much repetition in things like programming a function that initializes the parameters while important things, like model definition, are already written in the notebook.
By James H
•Nov 18, 2018
The whole tensor flow introduction is weak - it clearly requires further reading, which is fine but totally out of kilter with the videos so far, which have taken things from first principles very clearly.