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CD
Sep 27, 2018
Great hands on instruction on how RNNs work and how they are used to solve real problems. It was particularly useful to use Conv1D, Bidirectional and Attention layers into RNNs and see how they work.
PJ
Apr 3, 2019
The previous courses raised the bar and expectations. The assignments for Week 1 and Week 2 were a bit unclear. Lectures for Week 1 and Week 2 can be improved as well. Besides, this is a great course!
3326 - Sequence Models ç 3350 䞪è¯è®ºïŒå ± 3,839 䞪ïŒ
å建è Paul H C
â¢Nov 19, 2018
Really good course. Exercises are not always connected to the core of the deep learning problem though..
å建è Sharon M
â¢Sep 19, 2019
The course is great , in the assignments it is better to stick to single package and TF is preferable.
å建è Jorge L G
â¢Jan 29, 2019
Highly recommended course to understand the concept of speech recognition models, very real use cases.
å建è Alex K
â¢Mar 15, 2022
Great lectures, but "fill-in-blanks-and-rewrite-math-formula-using-python" assignments were annoying
å建è Fab
â¢Jun 4, 2020
Very good course. Only, sometimes a bit more cryptic respect to the other ones in the specialization
å建è Zhiliang W
â¢Jan 25, 2019
Great lectures. The quality of exercises are also amazing, although some typos should be fixed asap.
å建è Toma T
â¢Nov 14, 2023
Good course. The lesson on transformer needs to get better, be more logical with more explanations.
å建è Jessica
â¢Aug 24, 2020
Some concepts need to be explained more detailed, otherwise I feel hard to keep up with the lecture
å建è Zhao C
â¢Apr 19, 2019
Great class. However, they are some typos/mistakes in the explanations of programming assignments.
å建è Amiya M
â¢Oct 20, 2018
learned a lot but I wish their should be some sort of referencing material for further exploration
å建è Patrick B
â¢Nov 8, 2024
Lectures were very insightful. Assignments were not as strong. Final week on XFormers was rushed.
å建è Alex R
â¢Feb 25, 2019
Lecture content is pretty good. Exercises are much more finicky (less robust) than prior courses.
å建è MD Q A
â¢Apr 8, 2018
more excercise should be there in last course, but overall content was very good
thanks Andrew ng
å建è Sooraj M S
â¢May 13, 2018
The Attention model still needs more explanation. I haven't completely grasped attention models
å建è Jon-Pierre H
â¢Feb 27, 2018
More errors than most in the projects. Likely due to the rush of getting this final course out
å建è Lee H H J
â¢Jun 13, 2020
Very good course, informative and easy to follow. Only problem I had is with its auto grader.
å建è Nojus D
â¢Jul 12, 2020
Really good course but compared to others optional assigments lack instructions in this one.
å建è Alex F
â¢Apr 7, 2019
My only complain is Keras. A crash course/lecture on Keras would benefit this course a lot!
å建è Phuong-Khanh H
â¢Aug 22, 2018
The course is of high quality. However, it is not as good and clear as the previous courses.
å建è Wes H
â¢Apr 15, 2018
Content needs a few improvements in quality but otherwise a valuable and instructive course.
å建è harm l
â¢Feb 19, 2018
Fine training, had some tchnicalities with the pythonn notebook which cost me loads of time.
å建è wayne t
â¢Aug 3, 2021
very good course for beginner to study. But not enough clear for some concepts and models.
å建è Osvaldo R
â¢Jul 1, 2020
The practice was more guided than other courses. Felt that the Coursera team did all for me
å建è Cze H Y
â¢Aug 16, 2018
Perfect course except there are are some mistake/ambiguous instruction in course assignment
å建è Tshepiso M
â¢Apr 5, 2020
Great course. Would like it if he kept his notation consistent with what is in the papers.