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.
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!
por Virginia A•
Apr 07, 2020
Sequence Models are a though subject. many people, during working meeting, mention them as the final resource and solution to everything. I feel I better understand the nuances of them thanks to this course.
I personally enjoyed some of the extra reading ( original papers quoted at the bottom of the videos). Sometimes is hard to navigate in the large sea of publications. It is nice to be pointed towards some piece of reference
por Chris D•
Jan 11, 2020
I go back and forth on whether the time-saving aspects of the Python Notebooks are worth the reduction in ML coding experience. I suppose these aren't coding classes, but I also feel some of the concepts aren't cemented as well as if the students were led through a more challenging, trial-and-error experience. That's hard to do, though.
Overall, I recommend the specialization. Maybe just be sure to play around offline, too. :)
Jul 01, 2019
This series of course provides a comprehensive overview of NLP algorithm and different applications. I really enjoy the projects the deal with audio files. The course skip the linear algebra and differentiation part that not everyone wants to look into. But I hope it will be better if we could also implement the data processing functions of different types of sequential inputs, since data preprocessing is also significant
por Stefano I•
Dec 12, 2019
This was a great intro to RNNs and Sequence Models.
Particularly liked the assignment on voice keyword detection. It was useful to learn how to synthesize a dataset quickly and train a proper model for the task.
Also the NLP parts were useful. I would have liked to have more advanced assignments, but still it was a great course that gives you enough knowledge to learn more on your own or explore more advanced courses.
por Najeeb K•
Aug 24, 2018
I had struggled with the complexity of Sequence Models ever since I started learning about Machine Learning models. This course gave me an easier intuition to the sequence models without dwelling too deep into the mathematical complexities. As a person who has very little experience with Linear Algebra this helped me a lot to understand and apply such architectures to solve problem. Thanks Prof Andrew and the team! :)
por Frank T•
Feb 20, 2018
I think it is a great course. There are some issues here and there with notebooks and related materials. However, considering the large and detailed amount of content in this course and it being a new course, things not being 100% perfect is OK by me. I would rather have the thoughtful content and exercises, versus something much lighter that would be easier to produce. Thank you to all who prepare these courses.
por Lavan O P•
May 21, 2020
I enjoyed learning all the five courses of this deep learning specialization. Special thanks should go to Dr. Andrew and the instructors for delivering the course material in an interesting manner. Quite frankly I'm a little bit disappointed with this specialization being too short. Expect more courses in this specialization in the future. (Maybe reinforced learning).Again thank you all for this great experience.
por Michael Y•
May 23, 2020
I'm grateful for the chance to take the 5 courses in this program for a very affordable price. It is the best educational deal I've ever come across. The courses are well taught, I will continue on to take other courses offered online on the same subject. Thanks to everyone who made this possible, and I will definitely try to make a contribution to humanity as Prof. Ng has challenged us to do.
por Nitin K•
Apr 03, 2020
Thank you Prof. Andrew Ng and team for these series of courses. The entire specialization was brilliant and the way the programming exercises were structured, using real-life examples was the best part of all. Prof. Andrew Ng always has a smile on his face when he explains the concepts and he is so humble that he thanks us for spending time doing the specialization, whereas it should be the other way round.
por Eagle Y•
Feb 05, 2018
I highly recommend this course to all audience. Professor Ng is an outstanding researcher with tremendous amount of experience. Moreover, he is a well-known lecturer in terms of his clear explanation and interesting examples provided in class. I have gained a lot of experience as well as knowledge in the field of deep learning. I am very grateful for his time and effort for providing all the resources here.
por Kostas H•
Nov 05, 2019
The best online course I've seen anywhere about recurrent neural networks! Prof. Andrew Ng explains everything in such a simple manner. For example, understanding the structure of LSTMs is quite challenging, but Prof. Andrew Ng explains it in a very easy to understand fashion. Likewise with GRUs, Seq2Seq models, bidirectional RNNs, etc. And the code exercises have very beautiful and detailed explanations.
por Guruprasad S•
Mar 05, 2018
Thanks Professor Andrew Ng and team for the deep learning specialization. The course material was well designed for online learning. The assignments were perfectly manageable with a few hours of investment every week and the learning was very effective. Last but not least, I found Professor Ng's wisdom, insights, tips to be invaluable to anyone regardless of their level of expertise in machine learning.
por Shishir M•
Dec 31, 2019
This was the best course among 5 course specialization. It was well designed, structured and application oriented. Assignments were pretty fun to solve as they involved solving real world problems. This course gave me direct exposure to industry level problems and helped me gain more insights towards the future of deep learning. Because of this I am really excited to continue working in deep learning.
por Rohit K•
Jul 06, 2019
Hello Andrew, I am a big fan of you. Learning from your every course. Very unfortunate that I can do that remotely only.
One thing that I want to mention - Can we have lecture notes on coursera, just like the way used to in CS229 that we can read before coming to next lecture. I found that that was very useful in understanding when things get harder.
Thanks hope we can improve coursera in that matter.
por Daniel C•
Feb 16, 2018
The Sequence Models course covers state-of-the-art deep learning methodology as of 2018. The instructor is awesome. The assignments help solidify concepts presented in lecture videos. One nitpicking comment. This course, being relatively new, was less polished compared to the other courses in Deep Learning Specialization. I'm sure future updates will eliminate glitches and errors in the near future.
por Raimond L•
Jan 11, 2020
Good course to help you understand how sequence models work and how to apply them for various problems. Majority of topics are explained quite well. Practical problems sometimes could be a challenge, but every problem has hints and a bit of theory provided. Overall this course was a very positive experience and I do recommend it. Special thanks for the people who made this course possible.
por Dmitry T•
May 03, 2018
I liked that this course was a bit harder than others in the specialization (well partly because It felt like notebooks were made in a bit of hurry here) but it was a good thing for me, since I had to think more on the programming excercises, read Keras documentation, derive backprop equations - and I believe such engagement with the topic really allows to understand and remember it better.
por Mary A B•
Mar 19, 2018
It's been so rewarding to apply what I've learned in the previous courses of the Deep Learning specialization to time-based problems. I feel I have a better understanding of how some of the "magic" technology like virtual assistants and speech recognition work. While the material in the first four parts was also very useful, the specialization would have felt incomplete without this course.
por Leandro O B•
Jun 04, 2019
Another outstanding course about Deep Learning.
It teaches Recurrent Neural Networks from the basics up to industry applications such as Speech Recognition and Natural Language Processing. The programming assignments are extremely useful to build strong understanding of the algorithms, which we code "from scratch" with NumPy before using higher level frameworks such as TensorFlow and Keras.
por Abe E•
Mar 09, 2020
It's a great class, and Andrew Ng is a great instructor. I wish the exercises were a bit harder. Since the course is aimed at all and I am coming from a graduate degree in the sciences, I realize it's hard to cater to all educational backgrounds. I would have liked to see optional/honors exercises to get us more involved. Other than that, I loved the class. Thanks so much for teaching it.
por Simon R•
May 13, 2018
Loved the course, Andrew is a great teacher; very impressive ability to explain and give intuition. I can really see how I can build upon this course to help me in what I am doing at work. I think there is definitely some room to go deeper on some of the topics e.g. don't just teach sequence to sequence but also broader uses of recurrent networks. Maybe a follow-up course? ... please???
por Fabrice L•
Jul 18, 2018
This module of the specialization is a bit more complicated than the others; at least to me, I found the concepts more difficult to grab.
Anyway, thank to Andrew and his team for this amazing specialization. The lectures are great, the assignments are fun and have interesting examples. A huge amount of knowledge along all the courses. You can tell there is a lot of work behind it.
por Apoorv V•
Jan 03, 2020
I was about to give this course a 3-star rating unlike the other courses in the specialization, which I have rated 5 stars. The reason for that was the programming exercises in week 1. They are not interesting and do not impart a lot of learning. Please consider improving those. The reason I still gave 5 stars is because of the amazing programming exercises in weeks 2 & 3. Thank you.
por JC Q•
Feb 10, 2018
In the continuity of the 4 previous modules, the Sequence Models course is of very high quality, the material is concise but cover a wide range of applications and methods, and is delivered with consistent clarity. The programming assignment gives very good hands challenges. I highly recommend this course to anyone interested in natural language processing or speech recognition.
por Mashrur M•
Jun 30, 2019
This is the last course of the Deep Learning journey, and I felt like a learned a lot in it. Sequence Modelling is a different beast compared to non-time series models, but I've mastered it thanks to this course nevertheless. I would recommend this particular course to anyone who has a moderate understanding of deep learning and wants to get into time series analysis and nlp.