Oct 30, 2018
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.
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.
автор: 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.
автор: 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
автор: 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.
автор: 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!
автор: Adão T•
Aug 31, 2020
The course is well structured! Dr Andrew Ng teaches very well all the concepts in the videos and also references to the papers. Along with the programming exercises, we can put in practise all the concepts from the videos. The exercises are also very well documented.
автор: - A U S•
Jun 11, 2020
This was by far the most challenging and most interesting course of all the courses in the specialization. Really gives your brains a hard time, but after you see/hear (haha) the results, it seems that all that was worth the effort!!! THANKS ANDREW, for everything!!!
автор: 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
автор: Srikanth G•
May 15, 2020
It's been a great journey. Thank you all for providing such an insightful and thorough course. The use of real-world applications to demonstrate deep learning algorithms was truly astounding. Once again, thank you, for imparting your precious knowledge to the world.
автор: 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.
автор: Alejandro D G•
Oct 12, 2020
Very good course: the lectures are clear and motivating, the applied exercises help to improve the understanding of the topics and its implementations, and is very nice that for each topic the teacher incentivizes to read the papers from which this ideas came from.
автор: Arkoprova M•
Aug 24, 2020
This course gives a very good introduction to exciting applications of Deep Learning,that too in a very short time span. It is worth the time and effort to learn a complex thing in such a lucid manner. The instructions in the programming assignment has helped a lot
автор: 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
автор: 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.
автор: 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.
автор: 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
автор: 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!
автор: 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.
автор: Jasper v H•
Apr 07, 2020
Good introduction to sequence models. Would be nice that the exercises weren't as guided, since it would be better to implement most things yourself rather than use so many predefined functions. However, I understand the necessary trade-off in terms of time.
автор: Shaelander C•
Apr 11, 2020
One of the best Professors I ever came across. This Course is Precise and Clear. I am writing this today and will view is again when I achieve success in my life " This Specialization is the stepping stone towards my future "
Thank you, Professor Andrew Ng,
автор: 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.
автор: 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.
автор: 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.
автор: 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.
автор: Jay P•
May 31, 2020
This was one of the most interesting and well taught courses here. After this course, I was able to understand research papers in this area which were previously quite difficult and alien to me. I was also able to implement the models in them successfully