Comentários e feedback de alunos de Sequence Models da instituição deeplearning.ai

Great content, but Andrew often starts his phrases then restarts saying them. Audio could use some cleanup, then this course would be perfect!

Most optional assignments contain bugs/errors. Other than that, this is a great course, just as the 4 other courses in this specialist series.

I give 4 star because some fomulas are not correct! Though this course is really great. I can not understand why you made mistakes on fomulas.

This one seemed to go through to quickly over the details especially with the word vectors and the LSTM, would have appreciated more examples

Very good course, though the assignments towards the end were a little too centered around Keras, which I personally don't care for very much

The instruction of using Keras in the programming assignment is unclear. There are many bugs as well, hence we have versions 1, 2 and 3 etc.

No time series analysis, and some problems in the guidance of some programming tasks. Mainly de first week, the rest of it was pretty good.

Good course. I would suggest to split the first week into 2 weeks, which makes easier to grasp all the concept with a deeper understanding.

The assignments of this course "Sequence Models" require sufficient knowledge of Keras and Tensorflow, which is not friendly to beginners.

There are some problems in the code of the assignments, as well as the expected outputs, which costs a lot of time for me to figure out.

Very Awesome Course i got knowledge about Sequence to Sequence models and how they works in practical software . Thanks to Prof.Andrew.

Exercises' grader didn't accept all the functions correctly, lose much time searching in the discussion.

Too many corrections in the way

Great instructor, good and challenging assignments. Thank you!

The grader problem in the Dinosaur Island should be solved once for all.

Everything is great except the last assignment - trigger word detection is hard to save and submit, and i can't even open it sometime.

Parts of the critical details are a little vague, but the intuition and experience provided are extremely valuable and useful for me!

Found it a bit harder to follow along. I believe this topic needs a more indepth treatment and possibly more time (4 weeks at least).

Really good course, but the audio quality (repetitions, periods of silence etc) was decreasing over the course of the specialization

The exercises are somewhat tough for this exercise I think the time should be extended by one week extra to complete the assignment.

The material is great. On the other hand, if we could get a lecture on Keras, it would help us work on the programming assignments.

Besides some technical difficulties in the notebook (and some minor details in the video quality) the course was very informative!

Overall well executed course and sequence. You'll pick up RNN essentials and use Keras/Tensorflow to work through simple examples.

Video editing is bad and assignments have lots of inconsistent wording and bugs, apart from that knowledge wise really good course

Course was very good and I learned a lot. I think assignments can be more open ended to encourage students to try multiple ideas.

Assignments were confusing in when they seemed to work but graded wrong and sometimes they were graded correct but didn't work.

Some programming assignments have few errors in them (wrong equations, wrong expected output etc.) which need to be corrected.