Mar 14, 2018
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!
Jul 01, 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.
創建者 Ali B•
Sep 01, 2019
Obviously, The professor and TAs have put a lot of time for preparation of this course, and I really appreciate it. However, the hws of the course is too much focused on language translation. They could put another examples, say business data, to represent other applications of RNN/LSTMs.
創建者 Chenyue W•
Feb 08, 2019
The course should provide more instruction on the Keras and Tensorflow, since the notebook is largely dependent on the knowledge of these frameworks. Moreover, the logic of programming is not so well-organized: I personally prefer to have my own logic instead of modules got implemented :)
創建者 Lukas K•
Sep 03, 2018
Really interesting course with overview about sequence models and what can you do with them. Lectures from prof. NG are amazing as usual. The only thing I was missing was maybe more tutorials on Keras LSTM usage. The exercises on LSTM were quite confusing, especially using shared layers.
創建者 Seyyed M A D•
Mar 06, 2020
Very Important !!!
We do need more programming assignments in order to master the material. We joined Andrew's courses to master (not just get introduced to) the materials, because Andrew and the rest of the team is awesome.
Thank you very very much for all your time and consideration
創建者 Faraz H•
Mar 13, 2019
I am overwhelmed by too much material. Additionally Tensorflow and Keras syntax is not very elegant or coherent as they are such high-level languages. I learnt a lot at a high-level overview in this course, but my fundamental understanding was consolidated in the previous 4 courses.
Sep 08, 2019
Finally, the last course was completed. For me, this course is very difficult, because the content of the course is somewhat obscure and difficult to understand. But I learned some basic knowledge about Natural Language Processing and Speech Recognition through this course. Thanks!
創建者 Carolina F•
Jan 08, 2020
This is my third course in Deep Learning, the contents and pace of learning are great, they provide a good level of understanding in the subject. The notebooks have bugs and I wasted a lot of times making them work, thus they could be improved to use that time actually learning.
創建者 Osman F K•
Dec 24, 2019
The concepts presented in this course were advanced enough. Yet, the assignments did not require much effort and thinking, which in my opinion is hurting the learning process. If students do not struggle enough with the course, they tend to forget the material they have learned.
創建者 Othman B•
Feb 22, 2018
Very interesting courses. I take this as a basis for future applications. I only regret that the exercises are too guided. I can't pretend to be able to accomplish a project in machine learning :-(
I would recommend also to note all the references to the papers, they are helpful.
創建者 Cosmin D•
Sep 26, 2018
Great content, assignments are fun and reasonably instructive (although they contain the occasional error and the video editing for the lecture content seems a bit rushed at times). I would recommend this course as an introduction to recurrent neural networks and related ideas.
創建者 Justin G V P•
Apr 19, 2020
Very informative and well taught course on sequence models. The amount of content and pacing was just right as not to be overwhelmingly complicated. There are a few bugs here and there in the programming exercise which can lead to a lot of headaches but overall a good course!
創建者 Mikhail M•
Jun 12, 2018
Week 3: quite a complected network was used for trigger word detection; however, it is not clear why exactly this architecture was used; specific order of dropout, batchnorm and GRU seems to be a pure magic; at least, a few words why this combination is picked are needed.
創建者 Stephen S•
Feb 17, 2018
Course content is excellent, I would have given 5 stars, if the Programming assignments wouldn't have bugs. Fortunately people in forum help out with solving issues with assignments. I believe it's due to the short time frame the course is online and bugs get corrected.
創建者 Viliam R•
Mar 24, 2018
While this was the most relevant course for me, I missed how it was focused on "helper functions" instead of core RNN concepts. While I feel like I understand concepts like the Bleu score, I would definitely need to spend more time to fully grasp the RNN architecture.
Jan 24, 2019
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
創建者 Vidar I•
Mar 22, 2018
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 :)
創建者 Sourish D•
May 28, 2018
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.
創建者 Sherif M•
May 03, 2019
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.
創建者 Endre S•
Sep 18, 2018
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.
創建者 Roberto A•
Aug 06, 2018
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.
Feb 15, 2018
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
創建者 Harshad D K•
May 04, 2020
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
創建者 Óscar G V•
Jan 27, 2019
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.
創建者 Diego A P B•
Mar 07, 2018
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.
創建者 Luiz C•
Feb 11, 2018
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,...)