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Comentários e feedback de alunos de Sequence Models da instituição

25,117 classificações
2,943 avaliações

Sobre o curso

This course will teach you how to build models for natural language, audio, and other sequence data. Thanks to deep learning, sequence algorithms are working far better than just two years ago, and this is enabling numerous exciting applications in speech recognition, music synthesis, chatbots, machine translation, natural language understanding, and many others. You will: - Understand how to build and train Recurrent Neural Networks (RNNs), and commonly-used variants such as GRUs and LSTMs. - Be able to apply sequence models to natural language problems, including text synthesis. - Be able to apply sequence models to audio applications, including speech recognition and music synthesis. This is the fifth and final course of the Deep Learning Specialization. is also partnering with the NVIDIA Deep Learning Institute (DLI) in Course 5, Sequence Models, to provide a programming assignment on Machine Translation with deep learning. You will have the opportunity to build a deep learning project with cutting-edge, industry-relevant content....

Melhores avaliações


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.

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251 — 275 de 2,916 Avaliações para o Sequence Models

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

por Guilherme

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 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.

por - 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!!!

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 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.

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 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.

por 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

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.


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


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 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.

por 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,


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.