AM
30 de jun de 2019
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.
JY
29 de out de 2018
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.
por Václav R
•5 de ago de 2019
Nice intro in recurrent neural networks.
I'd prefer more focus on why the architectures are designed the way they are.
por Scott R
•16 de mar de 2018
I would have liked to have had an assignment covering beam search but overall it was excellent introduction to RNNs.
por Lin Y
•14 de mar de 2018
overall it's great, but I think this course is a little bit high level on RNNs, I expected more content on GRU/LSTM.
por Andrey S
•20 de fev de 2018
Great course but it took them forever to finally open it.
The course also has issues with submitting last assignment.
por Nikhlesh P
•17 de ago de 2020
Text Processing exercises should be added. Most of the examples are from image and speech. Overall good experience.
por Sachin k
•8 de jul de 2019
Great Course. But could improve on explanation part. And could teach more about architectures such as LSTM and GRU.
por Tianpei X
•13 de fev de 2018
Great course ! However, there are several errors in the project assignments and it has been delayed for two months.
por Cameron W
•16 de set de 2019
I felt like important concepts were glossed over far more in this course than previous courses in this curriculum.
por Pengfei J
•22 de fev de 2018
The update and correction of error should be more effectively and actively managed. That's the only error so far.
por Yufeng S
•29 de out de 2022
Everything is good, except the last week's material needs more explanation to avoid confusion and frustration.
por Andres F O J
•29 de ago de 2020
The assignments should be after each topic or lecture because in the end is difficult to enhance the knowledge.
por Claus E
•29 de abr de 2020
Good course, but the errors in the last exercise was annoying and I missed a bit more about speech recognition.
por Adam
•11 de abr de 2020
Only complaint is that the exercises are too easy when all answers are practically given in the hints section.
por Jan Z
•23 de fev de 2018
Interesting topics but some fairly frustrating assignments. Happy to get a better understanding of NLP though!
por Abdoulaye
•14 de jun de 2020
Super excited to finish this course. I've tone of questions not answered in forums I'm still waiting answers.
por Paulami D
•12 de mar de 2018
This was the toughest one of the 5. Great learning, but may be it could've been made a tad bit more intuitive
por Tung V t
•28 de nov de 2021
the course is very comprehensive however more details about how backpropagation is done would be great !!!
por S A
•2 de jul de 2018
The quiz section needs to improve. It would be helpful that notes be also given as an outline of the ppts.
por Aleksandar B
•20 de mai de 2018
A bit too much material without going in depth anywhere. Also, code-grader sometimes behaves very strange
por Kiran S
•4 de fev de 2019
Some inconsistencies with the HW level (week 2 basically told you what to write) but very good lectures.
por Brandon C
•11 de dez de 2018
Keras exercises tough to get through based on provided information, but the content was superb as always
por Paul H C
•19 de nov de 2018
Really good course. Exercises are not always connected to the core of the deep learning problem though..
por Sharon M
•19 de set de 2019
The course is great , in the assignments it is better to stick to single package and TF is preferable.
por Jorge L G
•29 de jan de 2019
Highly recommended course to understand the concept of speech recognition models, very real use cases.
por Alex K
•15 de mar de 2022
Great lectures, but "fill-in-blanks-and-rewrite-math-formula-using-python" assignments were annoying