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Comentários e feedback de alunos de Sequence Models da instituição

22,855 classificações
2,637 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


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!


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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426 — 450 de 2,616 Avaliações para o Sequence Models


Jul 25, 2018

Great course, great lectures and assignments. It would have been slightly better if the assignments required more input from students' side rather than providing most of the details.

por Vamsi K B

Apr 29, 2020

This course taught me so many important concepts in such an engaging way.

Andrew Ng is the best teacher I have ever come across.Looking forward to do more courses from you.

Thank you!

por Zebin C

May 18, 2019

This course is hard to learn. It requires a lot of basic concepts about NLP and RNN. Fortunately, programming exercises have effectively deepened my understanding of these concepts.

por Alex Y

May 15, 2019

Excellent overview of recurrent neural networks and applications like NLP, speech recognition, and sentiment analysis! The assignments especially were comprehensive and fascinating!

por Abe K

May 11, 2019

This course is AWESOME!!! I learned so much and it was put together so well. This course allowed me to write an article on attention and better understand stacked LSTM RNN networks.

por 邱依强

Mar 10, 2018

I have the best time with you who designed the course and learnt together. When the professor said thank you, I was really moved and, not a words can express my appreciation to you!

por Amit J

Apr 18, 2020

I got very valuable insights from this course. I have a raspberry Pi in home using which I control a lamp. I am going to activate it with speech based on learning from this course.

por Hariprasad K

Feb 01, 2020

Thank you so much for the entire deep learning specialization. Thanks for generously sharing so many aspects about various topics, which will be otherwise difficult to come across.

por HEF

Jun 02, 2019

The most challenging one among all 5 courses of this specialization, but I also got the most fun from the videos and programming exercises. The discussion forums are quite helpful.

por Thejan W

Apr 04, 2018

A very well organized course. Assignments, lectures, almost everything is extremely organized and rich in content. This gave me a concrete theoretical knowledge on sequence models.

por Beda K

Apr 28, 2018

Great overview of sequence models. This was the course in the series that was most relevant to my topic of interest, so I was looking forward to it and enjoyed every moment of it.

por Luis d l O

Mar 26, 2020

Very interesting course for those who do not know sequential models. As for the programming exercises, they are very easy to complete but help understanding how everything works.

por Madhukesh S

Feb 26, 2018

All the courses are great, but this is the one I was interested in most. It didn't disappoint. The exercises were a bit challenging, but a lot of fun and relevant to the subject.

por Angam P

Feb 24, 2020

Great introduction to sequence models. While the actual concepts are hard to grasp, programming exercises has given a very good understanding of the application of these models.

por Kevin C

Dec 25, 2019

I am pleased about the in-depth explanation about RNNs, LSTMs, and GRUs, as well as the Attention mechanism. Those were the topics that I was looking for when taking this class.

por Manfred P

Nov 11, 2018

Awesome course. Andrew Ng is a very good teacher. I've also done the DL course on Udacity which was very unstructured and hard to follow.

The only thing I was missing were GANs.

por Suhrullekha M

Apr 05, 2020

Was fun with lessons, some assignments gave issues with necessity of additional care on being aware of the "grader", as some simple mistakes led to no grading, otherwise great!

por Mukund A

Mar 24, 2019

Incredible! Just Loved it. Loved the entire deep learning specialization by coursera. Programming Assignments in this course were challenging but rewarding. Thank You Coursera.

por Jorge

Aug 08, 2018

Great course with a lot of content about sequence models based on Recurrent Neural Networks. Although sometimes the topics are very complex, everything is explained very clear.

por Yanxuan W

Apr 23, 2018

Andrew is excellent teacher! During last three months, his not only taught me deep learning but brought me peace helping me go through a hard time. I am so appreciate for that.

por Jussi V

Feb 18, 2018

Simply excellent ending for the deep learning specialisation. This course 5 together with course 4 (CNNs) is really the core and the most important part of the 5-course series.

por 林胜义

Feb 13, 2018

I learned how to use LSTM or GRU in NLP task. And I have learned many intuitions and skills of Sequence Models and its application in various NLP tasks and speech recognition.

por Awadhesh K M

Apr 12, 2020

It was fun and a wonderful experience to learn deep learning. Course content is well structured, and the way things are taught , kept me engaged all the time.

Thank You Andrew.

por Abhishek B

Oct 07, 2019

The course explanation is really nice. The topics are a bit advanced and hence need to be gone through multiple times. As always, Andrew and the team nail it with their work.

por Mushahid S

Sep 03, 2019

I have completed the full specialization. For sure this the best specialization if anyone wants to build his/her career on AI. Thanks to Coursera to be a part of our journey.