CM
Dec 23, 2017
Exceptional Course, the Hyper parameters explanations are excellent every tip and advice provided help me so much to build better models, I also really liked the introduction of Tensor Flow
Thanks.
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
By Jacob J
•Dec 13, 2022
While reviewing the mathematics is important, not having any formal lectures discussing the lines of code became frustrating at times. A brief overview relating the mathematics to how it should be formatting written would be beneficial (especially when introducing Tensorflow).
By akshaya r
•Jan 12, 2020
Good explanation of hyperparameters and optimization in DNN. As a beginner to tensor flow, I felt it hard to debug the tensor flow assignment. It would have been easier if the assignment included validation of each function before building the complete model.
By Salim S I
•Aug 12, 2018
Would have liked programming assignment in python to understand the various initializations and optimizations. Although tensorflow introduction was good, It felt like being left stranded without a python assignment to cement the things learnt in the class.
By Brian W
•Oct 17, 2019
The lectures are good and informative. However, the programming assignments are hard to learn from - an unhelpful combination of too easy and too obscure, so that it's hard to believe I'm developing skills that will help me program such things myself.
By Kevin J
•Aug 1, 2020
Ich hätte mir gewünscht, dass Hyperparameter Tuning tiefer behandelt worden wäre.
Anstelle eines randomisierten Ausprobierens hätte ich mir mehr Erfahrungswerte gewünscht, wie man situationsabhängig Netze konstruiert und Parameter wählen sollte.
By Andrew W
•Nov 2, 2019
The material is very well and intuitively explained. I am disappointed with the assignment. It seems to be based on older versions of Tensorflow, and seems a bit outdated. This becomes very clear if one tries to run the assignment locally.
By Patrick P
•Sep 21, 2017
The course notes don't lend themselves for use as reference materials. The programming exercises are spoon-fed. The material is more up-to-date than Andrew Ng's Machine Learning course, but that set a higher standard for online education.
By John D G
•May 23, 2018
the lectures in this course seemed very packed and rushed, squeezing in a lot of content that felt skipped over instead of delving into the math a bit. The jupyter notebooks also have alot of errata that haven't been updated in a while
By Brieuc D
•Jan 31, 2024
This course does not go as deep as the previous one in the specialization and the transition to TF lacks some explanation (got stuck for a while during programming assignment because TF seems to lay out labels in rows vs cols in numpy)
By Maggie Z
•Jan 7, 2022
I find the course material not very well organized especially in week 1, as there are lots of random tactics taught which don't seem to fall into a common theme. For example, weight initialization seems better belong to week 2.
By Vahid N
•Jul 2, 2019
The exercise although long was only related to the last section. There are some mistakes already reported by the students but no action yet. This is a good course do not ruin the reputation by some minor unaddressed issues.
By sean j
•Dec 23, 2019
It's a good lecture for background but the programming assignment is outdated. Tensorflow 1 is very uncomfortable and the assignment would have been a lot easier and intuitive if it was Tensorflow 2, Keras or PyTorch.
By Deeplaxmi
•Apr 1, 2020
Thankyou for your great guidance sir. I am diploma student where we ain't taught much maths related to ML. I found difficult to understand mathematical equations. So i request you to upload a course on that too.
By Imad M
•Nov 4, 2018
Week 1 and week 2 needs more examples of python programming in the videos. The videos for week 3 were a lot more interesting. Without the python implementation examples in the videos, the course can be very dry.
By Nikolay B
•Dec 5, 2017
Lessons are nicely explained
Assignments should be more challenging. Same as first course, this one basically make you cope-paste instructor notes and just change variable names to pass all assignments.
By Caleb M
•Jun 4, 2019
Enjoyed learning the concepts but it all seemed slow and tedious. It also seems like building up tensorflow throughout the weeks would be more useful then just piling it in the notebook at the end.
By Christopher D
•Aug 1, 2020
It was a really good course, as I have come to expect when Andrew Ng is involved. The reason I only gave it three stars was for the sole fact that the version of Tensorflow is not up to the date.
By Riccardo F
•Sep 24, 2020
Not enough about tensorflow, not a lot of extra information on hyperparmeter tuning, exercises simple and unchallenging. I like the instructor, but I wish we could get more challenging material.
By Srini A
•Jan 9, 2019
its great foundational course but i feel with frameworks available the math behind it was little boring.Andrew NG is pretty good with explaining it well but sometimes felt it was too trivial
By Alexander V
•Feb 25, 2018
Tests are very easy, and the programming exercises are very straight-forward - to the point where it is really obvious what to do. I could have learned more if both were more challenging
By Griffin W
•Jun 29, 2019
Tensorflow was introduced in a very confusing way and most of the intuitions were not explained. Besides from lack of explanation for tensorflow, great course that complements the first
By Jorge G V
•Mar 7, 2019
The lessons are good, the programming assignment has mistakes that have apparently been reported over a year ago and have yet to be fixed - there is no excuse for this to be the case.
By Aniceto P M
•Apr 21, 2019
The course was well, but the last graded test was use Tensorflow and this requires a lot more knowledge than the last video which was an example of another completely different kind
By Peiyu H
•Oct 12, 2018
Lots of error on the final exercise. It seems some errors exist from previous sessions already. Hope the teaching team will fix the errors and make learning less confusing for us.
By Jonathan A
•Sep 10, 2020
The first course was really well put together. This one not so much. I learned a lot, but it seems that adding the TensorFlow exercise at the end of week 3 was an after thought.