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