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.
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.
创建者 George B•
Good introduction into NLP and Sequence models in general. Too many things are done for you in order to fit this course into 4 weeks. I felt like I could not say that I built a system doing something. It was pre-built, while I just filled in some portions of code.
创建者 Jeff M•
Very nicely put together, takes a difficult topic and gives you just enough to get your head around it. Only thing keeping it from 5 stars is that a few times it was more difficult to figure out what the auto grader wanted than what was needed to complete the topic
Would have been nice to get more extensive training in Keras en Tensorflow because programming excercies were somewhat too pre-compiled at times or other times difficult to code because of scarse knowledge of these packets. Otherwise great lecture material as usual
创建者 Vidar I•
This was a great course and teaches you everything you need to know about RNN to get started doing your own research. With background in economics and finance it would have been nice to have one small assignment with time series data. Beside that, awesome course :)
创建者 Oumayma G•
Thank you for this course. The content is very throughout and yet explained simply. I had a hard time with understanding the attention model, the explanation in the course is not enough, but after all, it is a complicated architecture. The labs help. Thank you.
创建者 Sourish D•
The grader has some bug.Even with correct output and with no bug in the code, it gives incorrect grading. Firstly the criteria to pass is so stiff(80% means to pass for every function).Secondly the bug in grading function grades incorrect for correct codes.
创建者 Sherif M•
Andrew Ng does a great job in introducing Sequence models in this course. However, I have the feeling the theory behind all the concepts falls short. There are just too many different subtopics being covered instead of focusing on the main concepts of RNNs.
创建者 Harish K L•
Compared to the previous 4 courses in this specialization, I felt this course a bit less on details. It may be just me not having the required level of understanding. It just felt like I could've used a little more details. Andrew is awesome as always.
创建者 Daniel K•
The programming assignments were pretty hard this time. I think, Andrew should spend more time to explain the concepts in the video lectures. Took me a while to get this stuff since it is a little bit more abstract than the previous specializations..
创建者 Endre S•
This last course of the series while still being excellent, it had a few minor issues in the assignments and was quite hard compared to the previous four. Nevertheless, I still learned a lot from it and I am really grateful for it being available.
创建者 Roberto A•
Very interesting and well taught course. The only disappointment is that it focuses almost completely on NLP. I would have much preferred working on other topics too, like for example time series with LSTM, which instead didn't even get mentioned.
You should try to leave access to the previous code I wrote in the previous weeks or help out a little in week2 exercise I really struggled to get some of the code done because I didn't have access to my previous notebooks because you locked them
创建者 Harshad D K•
This course helps you build the basics for natural language processing using deep learning methods.
The assignments at the end of every week test your understanding of the subject and improves your understanding of the topic. Highly Recommended
创建者 Carlos A L P•
Good continuation of RNNs covering theory and Python exercises using a few algorithms and uses cases. I would love to see more content and more interesting examples to implement in Python. Still, this is a nice introduction to sequence models
创建者 Jeremy O•
I really liked it, however I don't feel like it really went into some of the more practicle issues with sequence models. I was left feeling like I wouldn't really know what to do in a situation where I had highly variable sequence lengths.
创建者 Paulo M•
I preferred the first specialization courses. The explanations are not so clear as the explanations in the first courses. I will make the NLP specialization to have a better understanding. Anyway, I recommend the specialization. Very good!
创建者 Óscar G V•
It is a very good course. Andrew Ng explanations are very clear and easy to understand with a lot of good examples. On the other hand there are some confusions or errors in the backpropagation part of the programming assignment about LSTM.
创建者 Sajal J•
I am rating this course 4 because It doesn't give any guidance about future career paths and next things to learn. The explanations are very good. I understood complex things like GRU, LSTM, Bidirectional RNN, attention model very well.
创建者 Diego A P B•
While a great introduction on RNNs, I felt there could be another week of lectures given the complexity of the algorithms being explained. Likewise, the programming exercises felt unpolished in some parts, like in the expected outputs.
创建者 Luiz C•
Very good. To make it perfect, would have liked it for the Assignments to have less bugs (cf. LSTM backprop), and a longer course with extra weeks to present LSTM in the context of prediction (finance, weather, pattern recognition,...)
创建者 Michael M•
Great course! only negative is that problems would really hold your hand. I don't think there is any way I would pass a whiteboard test on any of this (then again a course to get me to that level would have to be double this length).
创建者 Joshua H•
The course covers one of the most influential developments in deep learning in recent times, and does so in a thorough way, introducing majority of the relevant mathematics and methods necessary to build a variety of sequence models.
创建者 Jaiganesh P•
The course is really good if you want to get a good understanding on the basics of deep learning. It would have been great if the course had more hand's on assignments than fill in the blanks kind of assignments in ipython notebook.
创建者 Rohit K•
I learnt a lot from this course and the whole specialization. I am grateful to the mentors and instructors. If coursera gives me opportunity I can also be mentor for the specialization to help the newcomers through the assignments.
创建者 Ghassen B•
During the first week, I think that a deeper explanation of the matrices' dimensions throughout the NNs should be given. Indeed, this would be helpful to understand some concepts.
Apart from that, it was an awesoome course, thanks!