Comentários e feedback de alunos de Sequence Models da instituição deeplearning.ai
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Melhores avaliações
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!
2601 — 2625 de 3,018 Avaliações para o Sequence Models
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
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