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!
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.
By Abhinand J•
Andrew Ng's amazing teaching is the only reason I took this course and I am not disappointed at all. Well structured course with great programming exercises relevant to real world applications.
By Carlo B•
The course is really effective both on theoretical and the practical part. All the main topic for sequence models have been presented in an intriguing and clear manner. Congratulations to all.
By Xiaonuo G•
Great introduction to practical Keras-based deep learning algorithms, studies, techniques and delivered using Jupyter notebooks. Couldn't ask for a better approach to teaching machine learning
By Sajal C•
Great course for learning about how to deal with sequential data. I really enjoyed it. You can read the keras documentation for the programming exercises in case you are not familiar with it.
By Jean M C•
Just finished the entire course. I learned a lot. I do believe that they give you too much clues during the exercises, but since I've never used python before, I don't really mind. Thank you!
By Gurudatta P•
Best Course I have ever completed. The lectures were very engaging and would give you through insight of the problems. Various ideas and their application was depicted in very beautiful ways.
By Duc T H•
Great course! As usual, very clear and detailed explanation, break down tough concepts into simpler terms. I've learnt a lot from the course. Thank you so much, Prof. Andrew Ng and your team!
By Shravan M•
Very thankful to Professor Andrew and course instructors and mentors.
I have learned a lot and feel very confident going forward applying the deep learning skills I have learnt. THANK YOU !!!
By Naman S•
Amazing course, just like the previous 4 of the specialization. Sir Andrew Ng has simplified and helped implement deep learning in a really helpful way. Grateful to have such a great teacher
By Steve S•
This course was my favourite and definitely the most challenging. Every course with Andrew Ng is amazing. Thank you and I will continue to take more courses in this area of specialization.
By f V S•
The sequence model course is good , but compared to the convolutional neural net course it somewhat lacking in the content. But overall the concepts and assignments are good and challenging.
By BAI Y•
This course is harder than course 1, 2 & 4. Especially for the assignments of week 1, I spent far more than 4 hours to complete.
It is better to provide more contents on Speech Recognition.
By Abel G•
The best specialization ever! thank you for all the dedicated people behind these courses and thanks Andrew Ng for explaining all the materials in the most enjoyable and easy way possible.
By Omar A•
This Course was a nice introduction to Sequence-To-Sequence Models, where we learned about applications involving speech recognition, machine translation, & captioning of images or videos.
By Md F S•
This is one of the best course which has covered Sequence Model so well that everyone can understand it. Thanks to Deeplearning.ai for this amaing course and specially thanks to Andrew Ng.
thank you！ I wonder if there have any platform or any web that i can continue learn more about machine learning? I want to read new papers or even discuss some idea about machine learning.
Great course. Thank you. I enlarged my knowledge in machine learning and took an inspiration make a research in deep learning, at least I started to read papers and try to generate ideas.
By Labib A•
I was so confused of RNN, LSTM. Was very depressed after finishing this course i am kinda really happy! Fully understood the logic behind RNNs and LSTMs. Great course highly recommended!
By Nguyen C T•
Well structured and interesting coding assigments, just enough to make use of what you learn and then you would still need more hands-on experience to master the knowledge provided here.
By ABHISHEK M [ B C A 2 ]•
It's a very good course to learn about RNN and how to use RNN in NLP task. This course is lot more fun and I really enjoyed it. Thanks you my dear sir Andrew Ng for this amazing course.
By Yash A•
The Toughest one in the Deep Learning Series.But had lots of fun in learning. Now I begin the exploration of Speech Recognition , Music Creation and NLP in muh greater detail on my own.
By Anurag C•
Thank you very much for the experience and could you also develope a similar course for time series prediction on data other than speech or NLP like sensor generated data, weather, etc.
By Yi L•
Really learned a lot from this course. This makes me feel closer to my dream! Thanks to Andrew and his crew! Thanks to the course!Thanks to Deep Learning technology! Thanks to Coursera!
By Tianqi T•
the course itself was great, but Coursera did a very bad job providing the infrastructure for the last assignment. it took me a long time to hack the assignment and submit successfully.