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 Koki S•
Mar 30, 2019
Course of lectures are excellent, but please fix the following problem
week 1 Programming Assignments
Improvise a Jazz Solo with an LSTM Network - v3
Dimensionality in djmodel()
por Lucas G S P•
Jan 21, 2019
I appreciate all the hard work and effort Andrew and his team puts in all his material.
I had hard time with most of Keras homework’s, I think it's hard to get the overall logic of a framework without an extensive explanation.
Besides that, the topics discussed are amazing.
por Haider A K•
Dec 08, 2019
A great introduction to Recurrent Neural Network models with lots of examples (text generation, music generation, sentiment analysis, word embedding, speech recognition, attention-based machine translations etc.). Thanks a lot to Andrew and the team for this awesome course.
por Fang S•
Sep 12, 2018
Andrew, again explained complicated structures very clearly. The first week might be a bit overwhelming and you might get lost with huge information overflow, but trust me, in week2 and week3 you will see how the dots are connected. Thank you Andrew for this amazing course.
por Mohamad K•
Feb 26, 2019
Prof Andrew such a great person. He teaching from the heart where 99 % of Prof not doing it today.
He summarized Deep learning+ Computer vision+ NLP in easy way. I am thankful for Coursera and Prof Andrew. I strongly recommend this course and all his courses to everybody .
por Akanksha D•
Sep 26, 2018
Awesome. But the programming assignments need to be less erroneous and lectures and assignments could contain more technical and mathematical details to build the foundations. The programming assignments could be designed to allow the students to do more that spoonfeeding.
por Alouini M Y•
Feb 20, 2018
This was for me the best course on the deeplearning.ai series since I am a complete novice regarding sequence models. Nonetheless, I have managed to learn a lot and the material was very good (with often state of the art techniques). The assignments were excellent as well!
por Aleksa G•
Jan 20, 2019
I really liked this last course as I did not have much experience with NLP and with audio in general, as I did have with computer vision and image processing. The keyword detection model is really cool! After this specialization I am starting to build my own ML projects!
por Raivis J•
Mar 18, 2019
This is the hardest course in the specialisation, and may take some extra effort. For practical assignments I recommend getting familiar with Keras syntax and workflow, as here there is little hand-holding here,. the focus is on actual model architecture and algorithms.
por Zein S•
Feb 15, 2018
This is not a good course, and even not a good tutor.. It is a great course and Andrew is really incredible tutor... I like this course so much and got tons of benefits...
I am so happy to take this course..
PS: You can add this review to the sentiment analysis data set
Jun 10, 2018
I really enjoyed the models presented in the course, as well as the accompanying exercises; I think Andrew and the team did a good job at giving intuition about the problems and coupling that with enough hands exercises to give better understanding of the implemtations
por Juan V M•
Jul 01, 2018
Greatly explained. A lot of things explained in detail in just no that-much videos. Totally worth-it the specialisation!! Went from zero knowledge to know a lot of things about how it really works. Learned python (including keras and tensorflow) along the way as well.
por David W•
Feb 19, 2018
Thanks for an enlightening course about sequences and how to apply machine learning concepts. This course has brought new light to how to solve some difficult sequencing tasks in my day to day work and I plan on looking for future courses from Andrew Ng in the future!
por Michał G•
Mar 25, 2018
Very good course as all run by Andrew Ng :)
Even though I passed all the assignments I will go through the whole course again to make sure I understand everything very well.
On the other side it would be nice to get some reference to public data to train more on my own
por Raffaele T•
Mar 09, 2018
It's a course about a lot of things: speech recognition, music generation, image captioning, machine translation, ecc.
It's highly recommended to study previous courses to fully understand the concepts.
There are some errors in the exercises because it's a new course.
por Rohan K•
Mar 27, 2018
Pellucid, succinct, and the final bomb of this specialization! Felt a little dazed sometimes during the course and some things didn't really make some sense, but after things do settle after a re-watch. This course is so good it is actually re-watch recommended. :P
por Jonathan E•
Jun 26, 2019
As usual, an amazing course by Professor Andrew Ng. The course manages to convey the most important elements of such a critical field, teaching from papers which were published only a couple of years ago. For anyone who wants to work in AI/ML, this is a must-do.
por Tín N T•
Aug 22, 2019
This course helps me understand more about RNN and its variations, especially I learnt about the basic of Attention mechanism. What I enjoy the most in this course is its assignments, these are very practical and easy to understand. Thank you for reading these.
por WALEED E•
Mar 20, 2019
This course was quite amazing in understanding with top papers discussed how machine translation and word trigger detection is carried using RNN. Code assignment was the best to show detailed steps of building RNN with a lot of hints to keep you moving forward
por SHENGCHAO Z•
Jun 21, 2018
Great Course! Thanks for Dr. Andrew Ng's and mentors' efforts for making this course excellent! However, as deep learning - AI quickly marches, I think more and more courses from Dr. Ng's group will be expected by all of us! Hope to see your new courses again!
por Sathiraju E•
Sep 17, 2019
In my opinion, this was the toughest course of this entire specialization. It was like a lot of detail squeezed into a few videos. I had to rewatch a lot of times to actually grasp the concepts. But thank you, Andrew and team, for your motivation and efforts.
por AMRICHE A A E•
May 16, 2019
The course is another great addition to the specialization. Very well designed and delivered. A big thank you to the Professor Andrew Ng and his team as well as Coursera. It was a great experience and I am very pleased that I took the entire specialization.
por Manik S•
Jun 17, 2018
A tough one. The notebook was very slow and and unstable.I like the original ML course's way of guiding us more. The suggestions on what should be done on every line make me lazy and I often don't focus hard enough on the intuition and math behind the code.
por Fernando H F•
Jan 21, 2019
Great course! Andrew is great in explaining complex definitions with simple and understandable explanations. The course goes deep in multiple applications of Sequence Model for Time Series Data, and the programming exercises are challenging and rewarding.
por Raghunandan S•
Oct 29, 2018
The course detailed, informative and elaborate. The programming exercises are using libraries Tensorflow and Keras. A familiarity of these libraries is very helpful. It would be great if an introduction to the fundamentals was a part of the course itself.