MG
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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.
NI
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Awesome course as always. The course teaches real world practical aspects of how to get started and navigate in the real world projects. The guidelines are actual learnings from years of experience.
By Ed E
•Nov 6, 2017
Great material but a few glitches in the videos that need editing out. I'm sure the people responsible will put it right soon though; the course hasn't been out long. Part of an excellent specialisation.
By Jon-pierre H
•Nov 29, 2017
Overall the course was good, but lacked some minor information needed for the quizzes. The quizzes also included some questions that felt like they were meant to trick us rather than test our knowledge.
By Gregory B
•May 12, 2023
Lots of good information, and it's quick, but the course videos could use a bit of editing compared to the other ones. It's common to have repeated takes in the videos that should have been edited out.
By Summer Y
•Oct 2, 2017
I didn't find this course as useful as the previous two. I'd still recommend the course because some interesting concepts are covered. The materials seem more intuitive. The quizzes are good practices!
By Noam S
•Oct 16, 2018
The course is very teaching in my uneducated opinion and will help m later in life, hopefully.
I wish the test question had been more coherent.
I enjoyed learning it, and the simulator is a great idea!
By Maciej B
•Aug 25, 2017
Course is great although only in one case we have pdf's with additional lecture notes. They are more useful than ppt slides therefore it would be desirable to have them in other parts of the course
By Fayruj F S
•Sep 17, 2020
The course is perfect. But it would have been better if some ways implementation was also introduced to us. But overall Andrew is really helpful to make us visualize and understand new strategies.
By Yan
•Apr 15, 2019
In this section, only strategies discussed and no programming practice. So I don't think I really understand those tricks. Maybe when I enroll in real projects, those magic will show their powers.
By HongZhang
•Jun 21, 2018
Very good lessons to teach the principle of how to set up a machine learning project. Lots of tricks are taught, but still hoping there could be some practical assignment to enhance the knowledge.
By Oge M
•Sep 13, 2017
Videos could be shorter and better edited. Supporting materials could be better. Homework assignments were tedious and included rather confusing (and borderline tricky) questions and alternatives.
By João A J d S
•Jun 14, 2019
It is a useful Content to keep in mind. Not as practical as other contents in the Specialisation. But, as Andrew Ng pointed out, it is a topic many times overlooked and I'm glad it was discussed.
By Rahul K
•Jul 18, 2018
The course is the best available on the online education platforms so far. An excellent instructor and really engaging assignments. You get it all but it lacks availability or reading materials.
By Vaddadi S R
•Apr 15, 2020
Lot of things to intake , Error analysis seemed more difficult to me compared to Bias/Variance Analysis. I think lot of practice is required to really remember and apply in real world problems.
By mitch d
•May 5, 2018
There are some answers on the "flight simulator" that are ambiguously worded, and one that seems to flat-out contradict what Prof. Ng said in lecture. Search the discussion forums for "foggy".
By Eric v d K
•Dec 28, 2017
Loved the course, and the simulation was great. Doing an actual transfer learning programming exercise in TensorFlow could be an awesome addition.
Best & thanks again for an awesome course!
Eric
By Sven W
•Aug 29, 2017
Basic but super relevant and well structure! Things we may all know, but forget to think about... I highly recommand. The only reason why I did not give 5 stars is that it's sometime repetitive
By Nicolas B
•Jul 28, 2019
Course was really interresting with lot of insights. I would have maybe put even more examples/cases and added more quizz to get more practical training if we apply the pilot training analogy.
By Andres F O J
•Aug 1, 2020
It's a little bit difficult to understand some concepts, even thought with examples. So it would be nice if there are some programming in the course. That will help to understand the process.
By Tanmay S
•May 30, 2020
Andrew Ng was great. Mu only complaint for this course is was it was a bit slow paced as per my liking and could have more hands on practice for that part. Otherwise, This course was Awesome
By Sandeep J
•Jan 30, 2018
Great class. Homeworks don't encourage independent thought. It would be nice if the material would spell out the problems that need to be solved more clearly, before describing the solution.
By liubai01
•Sep 15, 2017
That is a good course that teaches you many useful tricks in machine learning. However, some mistakes in quiz make me feel puzzled. In general, it is a good course that you should not miss.
By Rufo S
•Sep 19, 2017
Very good course with important topics. The Quiz 2 should be reviewed because has some inconsistencyies has mentioned in the forums. Some more pratical assignment would be also appreciated.
By Mike B
•Mar 12, 2018
I was a little disappointed that this course didn't have any programming exercises. That being said, I really like how the quizzes make you think of a real world application. Great stuff!
By Vassilios V
•Feb 11, 2018
Very good advice that is hard to find anywhere else. The quizes however have some ambiguous cases which are borderline wrong. At least they should be explained better after the completion
By Radu I
•Oct 23, 2017
Interesting opinions on what strategy to take to drive ML projects forward. Here and there you must weigh in with some "numbers" that suit you/your team but it's informative, nonetheless.