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.
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.
By Paulo S•
Excellent course. It would be better, however, if I could easily download the course slides and notes for quick recap.
By Jérémy M•
Really nice course but some programmation exercises isn't well built. (Compared to the other courses of this section)
By Niranjan K•
Week 3 last assignment must be improved.I faced a lot of problems related to submission.All other aspects are amazing
By Li P Z•
Excellent as usual, but not quite up to the usual standards, I felt some of the lectures and exercises were rushed...
By vincent p•
Cool exercises and good explanation, just too much focus on text mining and too little on actual RNN's if you ask me.
By Václav R•
Nice intro in recurrent neural networks.
I'd prefer more focus on why the architectures are designed the way they are.
By Scott R•
I would have liked to have had an assignment covering beam search but overall it was excellent introduction to RNNs.
By Lin Y•
overall it's great, but I think this course is a little bit high level on RNNs, I expected more content on GRU/LSTM.
By Andrey S•
Great course but it took them forever to finally open it.
The course also has issues with submitting last assignment.
By NIKHLESH P•
Text Processing exercises should be added. Most of the examples are from image and speech. Overall good experience.
By Sachin k•
Great Course. But could improve on explanation part. And could teach more about architectures such as LSTM and GRU.
By Tianpei X•
Great course ! However, there are several errors in the project assignments and it has been delayed for two months.
By Cameron W•
I felt like important concepts were glossed over far more in this course than previous courses in this curriculum.
By Pengfei J•
The update and correction of error should be more effectively and actively managed. That's the only error so far.
By Andres F O J•
The assignments should be after each topic or lecture because in the end is difficult to enhance the knowledge.
By Claus E•
Good course, but the errors in the last exercise was annoying and I missed a bit more about speech recognition.
Only complaint is that the exercises are too easy when all answers are practically given in the hints section.
By Jan Z•
Interesting topics but some fairly frustrating assignments. Happy to get a better understanding of NLP though!
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 Tung V t•
the course is very comprehensive however more details about how backpropagation is done would be great !!!
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