The course is very good and has taught me the all the important concepts required to build a sequence model. The assignments are also very neatly and precisely designed for the real world application.
I was really happy because I could learn deep learning from Andrew Ng.\n\nThe lectures were fantastic and amazing.\n\nI was able to catch really important concepts of sequence models.\n\nThanks a lot!
By Abdoulaye D•
Super excited to finish this course. I've tone of questions not answered in forums I'm still waiting answers.
By Paulami D•
This was the toughest one of the 5. Great learning, but may be it could've been made a tad bit more intuitive
By S A•
The quiz section needs to improve. It would be helpful that notes be also given as an outline of the ppts.
By Aleksandar B•
A bit too much material without going in depth anywhere. Also, code-grader sometimes behaves very strange
By Kiran S•
Some inconsistencies with the HW level (week 2 basically told you what to write) but very good lectures.
By Brandon C•
Keras exercises tough to get through based on provided information, but the content was superb as always
By Paul H C•
Really good course. Exercises are not always connected to the core of the deep learning problem though..
By Sharon M•
The course is great , in the assignments it is better to stick to single package and TF is preferable.
By Jorge L G•
Highly recommended course to understand the concept of speech recognition models, very real use cases.
By Fabrizio B•
Very good course. Only, sometimes a bit more cryptic respect to the other ones in the specialization
By Zhiliang W•
Great lectures. The quality of exercises are also amazing, although some typos should be fixed asap.
By Yixuan Z•
Some concepts need to be explained more detailed, otherwise I feel hard to keep up with the lecture
By Zhao C•
Great class. However, they are some typos/mistakes in the explanations of programming assignments.
By Amiya M•
learned a lot but I wish their should be some sort of referencing material for further exploration
By Alex R•
Lecture content is pretty good. Exercises are much more finicky (less robust) than prior courses.
By MD Q A•
more excercise should be there in last course, but overall content was very good
thanks Andrew ng
By M S S•
The Attention model still needs more explanation. I haven't completely grasped attention models
By Jon-pierre H•
More errors than most in the projects. Likely due to the rush of getting this final course out
By Lee H H J•
Very good course, informative and easy to follow. Only problem I had is with its auto grader.
By Nojus D•
Really good course but compared to others optional assigments lack instructions in this one.
By Alex F•
My only complain is Keras. A crash course/lecture on Keras would benefit this course a lot!
By Phuong-Khanh H•
The course is of high quality. However, it is not as good and clear as the previous courses.
By Wes H•
Content needs a few improvements in quality but otherwise a valuable and instructive course.
By harm l•
Fine training, had some tchnicalities with the pythonn notebook which cost me loads of time.
By Osvaldo R•
The practice was more guided than other courses. Felt that the Coursera team did all for me