Won't recommend. Concepts are not explained at all. The points mentioned in the slides are simply read out. Quizzes have no relevance to the topics covered in videos. Assignments are very badly structured. Notebooks have no documentation and are outdated (old versions of python lib, tensorflow, etc. - makes it quite frustrating at times). Only good thing about the course - a lot of CV topics covered and assignments are challenging (build from scratch - but no technical support )

There is too much content stuffed into every week. The quizzes and assignments are very difficult with zero moderator help/guidance. Even the discussion forums are filled with people asking others to review their assignments. No guidance posts are available. I haven't seen any posts by mentors in any discussion forums.

Poor English pronunciation, strange tone makes this course very difficult to understand

Very good course!

It was good

Overall:

This is an advanced course. Most of the time it would be difficult. In general, this course looks like the whole educational system in Russia - the given task is much harder then you can solve right now. But if you had a strong motivation you became much smarter. Support for this course doesn't even exist, but sometimes it is very useful to read the discussion to week practice.

Lectures and quizzes:

Teachers try to give a LOT of information in a very short time. But this theme is really not as simple to be told quickly. So as a result, you can understand just nothing:) Additionally, a heavy accent and kind of advanced vocabulary can make you feel frustrated.

BUT you can look at this that some keywords to google it was given) So generally, to understand I spend a lot of hours of reading about approaches in Computer Vision, mentioned here. The course was very useful from this point of view.

Quizzes sometimes look like crap. For some tasks, I still don't know to answer correctly.

Practice:

This is a part which could you a reason for you to finish this course. Tasks here really hard and requires from you a lot of time (about 20h, including the time to understand the task itself). I highly recommend all this practice carefully, it could be helpful for you in the future;) As a result, I knew a lot of tricks on how to prepare a model for find, recognize and even create faces.

The course assignments are not updated. Many libraries have updated and so have their syntax. And its nightmare getting the exact working version of those libraries.

Otherwise the course is good.

Some lectures aren't clearly structured. The homework assignments have downstream dependencies (week 5 depends on earlier weeks) which is not the best format IMO.

Nice introductory course. It include many background knowledge of computer vision before deeplearning and is important to know.

good

I'm usually very kind and upbeat so, writing this review gonna be hard. But let's start with the positives

Pros :

1. Fantastic real-life assignments, which require knowledge and coding ability to build and fine tune realistic deep learning models.

2. Rather new concepts are being presented (or at least shown on the slides) which will give a non-computer vision engineer a glimpse where we are currently now beyond cat-dog classification. So to understand the new stuffs it is necessary to take steps on your own.

Cons:

1. The forum is dead! No instructor, no one from the university/department takes part in it to help answer some basic queries. I'm not so sure what's the point of having instructor or a discussion forum when they are of no use.

2. I feel for the students who take the courses offered by the instructors! It's so boring, they just read from the slides and no clear cut concepts that are necessary for the assignments are discussed. The instructors talking is just as useless as my exes when they used to argue with me. Useless!

3. I kinda feel scammed paying for this course because of the two aforementioned reasons.

4. Sometimes the length of the videos are long and concepts presented are so unclear that, searching and learning by myself would take way longer than estimated time of 1 week. So if you really want to learn all things taught and solve the assignments by yourself, you are in for a hard ride.

So that's all! I have already finished two of the other courses in this specialization (Intro and Bayes), and they are way better so, hopefully the experience with the next course in this specialization won't be as horrendous as this one. Fingers crossed!

Course homework is actually not well designed for Coursera platform, some homework is not quite relevant to Deep Learning (i.e., HW1 and HW2) and some is very hard to complete (i.e., the last one, I tried on CPU for about 2 weeks). Also, the slides are not shared for this course in the series.

pretty good mooc wtih very exciting and hard assignments, I highly recommend it. The main issue I faced it was that the lectures are not well explained, so you need to look for documents and other lectures by yourself.

The content was good, but there are several drawbacks too

1 Content not explained well

2 Assignments had mistakes (like broken links, wrong descriptions)

3 Minimal or Non-Existing support from the staff.

The task is really practical and useful, but the courses content is too general and I hope for the future it could include some papers reading assignment

Overall it's a good course, but needs some improvements to make tasks clearer and provide a fair evaluation.

Not clear. And just focus on papers, not on basic structure or models.

Zero passion from instructors. A lot of stupid questions, some of them with errors. Interesting programming assignments, but with dozen of typos. Don't expect to finish any of those programming assignments in two hours.

no lecture slides, the lecturer cannot elaborate his point clearly (or he doesn't want to), the projects seems ok, but they also are in lack of hints for me to gain progress

Course is poorly mantained. Time is spent to understand what it is to be done rather than learning. Some bugs in notebooks are not fixed. Not a good experience.

This isn't a good course, difficult to understand and don't maintain by authors.

Some lectures are just reading the teleprompter！

Worst course in the specialization.

very difficult to understand

not clearly content