The videos are good, however the assignments are too long with sooooo many text inside. You have to make it more efficient somehow.

But thank you anyway for the great content!

Assignments in this course are relatively less organized. You have to read a lot of description first and then code and have to go back/forth between code and description.

I believe that the course needs more time allocated to the incremental teaching of this rather large subject area with varied applications. Just needs to be a better way.

The course was especially interesting in week 2 and 3, but the assignments for week 1 were confusing and sometimes it was hard to follow where the logic was coming from.

This was the most difficult to understand course in the whole specialization. Would have enjoyed more if the course material was a little more spaced and elaborated on.

Practical Assignments with Keras wasn't motivating. I spend more time to deep into the Keras rather than into the course topic. I prefer them to be using TF or Python.

The supports in keras programming was so poor, that I could not quite understand each step. And the server was horrible, always got 405 response when saving my codes.

This course should be broken into 4 weeks and spend more time building skills with Keras. The number of hours listed next to each assignment is unrealistically low.

The lecture was great but the errors in the programming assignment (especially in formal-typed formulas) really wasted a lot of time and make me confusing at first.

The ideas presented here were clear, however I found the programming assignments non-intuitive and not practical. I spent on them way more time than I wish i had.

The first courses in the deep learning series were amazing but this one was not great. Had to read about transformers elsewhere because it was poorly explained

I enjoyed all the courses, from my personal point of view this course was not that fun as the other courses. Except for the trigger assignment it was awesome!

Too much was given in external python code for the first week's assignment (that should be learnt by us): not a good thing for us to gain a good understanding

Worst course of the specialization, content is interesting and Andrew keeps explaining really well but programming assignments are clearly of a lower quality

The course is great but the tasks in Keras are too complex without background knowledge. Therefore, a reasonable introduction in Keras would be desirable.

Far less detailed than the other ones. The programming assignements are less interesting too, as a great part of the work consist of reading documentation

There were lot of bugs in the assignments taking up lot of time to fix. The course was okay, I liked the other courses in the specialization more.

The Keras programming exercises are quite weak. Please re-think how to teach them more systematically. Currently it is quite a lot of hit and miss.

The course content is very interesting, but the lectures are difficult to follow. The notation is unclear, and the key details are not explained.

The lectures were great, but the programming assignments could have been structured better, especially the final assignment which drove me nuts.

That was much harder than the previous courses of the specialization. However it felt like the videos are more hasty and less understoodable

There was a bug in a programming assignment notebook that took too much time to notice that i was doing ok but the expected ouptut was wrong

The programming assignments required some extra effort to understand Keras which I thought may need an introduction video like tensorflow.

Several grader issues, only 3 weeks of work, and a lot of errors in the solutions... In addition, less content than in the other courses...

The earlier courses were easy to understand, however, this was way too difficult. Andrew Ng did not make this easy like the other courses.