First quiz is very bad

But totally the course is interesting and I like it :)

Felt somewhat advanced learning, which made tough to complete intime

Very informative, very much useful to my ongoing work on NLP.

Great course, but no more up to date with TF2

Code explanation can be more elaborate

Complex but interesting

L

Not the best course. I think there are much better courses on Time series modeling here on coursera. The platform for the labs is also cumbersome.

Labs didn't work as expected. Too may errors due to incompatible tensorflow versions.

Quizzes are poorly constructed.

Frustrating experience!

Practice material (notebooks) didn't match the video lectures, but the course itself was good

lecturer talks too fast and not easy to understand. This topic was one of my favorites.

The files in the labs are not the same as the ones explained in the solutions.

The chinese intonation and pronunciation was uncomfortable

Some the exercises were too easy to complete.

I need more advanced Labs

The content was very general and the code specifics were not reviewed. It was like primarily Google Cloud advertising.

Labs and quizes are poor and mere formality. You can pass this course without actually learning a single thing.

A lot of the labs were repetitive and had no / little connection to the lectures

Excpected more. Also Katherine Zhao sloooow voice makes it tedious and boring

Just one question per evaluation. Labs seems outdated

The course is designed for professionals. It explains NOTHING. After each “lecture” I sat for 2 hours and searched Google for explanations. For example, I am given parts of “NLP solutions”, but it is not explained what “NLP solutions” are! I don't even understand what parts of what they are explaining to me. What is architecture? I know that there is Parisian architecture, Gothic architecture. Obviously we are talking about something else. But no one explained to me what we were talking about. And so on every step! It was indicated that the course was designed for people without training. Moreover, I am a linguist and understand natural languages much better than the authors of the course. And I can say that this course has nothing to do with natural languages. It only relates to the use of Google services, which work frankly poorly. Seriously, in my first lab I get a 404 error on every link? Do you think I will want to use Google services after this?

This course is just a firehose of BS corporate jargon getting sprayed at you. It's an advertisement for Google's enterprise products disguised as a course. The videos use an insufferable, charmless AI-generated voice instead of a human instructor. This is not only insulting and like nails on a chalkboard, but it is a terrible representation of Google's own product: it's an older AI voice that uses bad intonation with makes it a grating effort to understand. The tasks are implemented so awkwardly - you have to have multiple tabs open and flip back and forth figuring out what to do. It's intolerable and impossible, and I learned nothing, except that Google holds all the cards on the back end. This is the first course that I bailed on halfway through.

This is one of the poorly taught course. Week 2 is very difficult to follow the accent of the instructor. Also the notebook did not have the right package for the poetry problem and the instructor used different environment. The final Diaglogflow problem the concepts are not explained well. The course may be revised so that the important aspect of Tensor2Tensor is expressed properly.

The labs seem 2+ years old and need to be brought up to date. Some of the instructions are not applicable anymore, data is not downloading, etc. I provided more detailed feedback in the labs.

I wanted to unenroll but I can't for some reason.