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Learner Reviews & Feedback for Sequence Models by deeplearning.ai

4.8
stars
22,585 ratings
2,607 reviews

About the Course

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. deeplearning.ai 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....

Top reviews

WK

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!

JY

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.

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351 - 375 of 2,585 Reviews for Sequence Models

By Harshavardhan S

Feb 10, 2018

A Brilliant Course!!! I got to learn a lot very efficiently about Recurrent Neural Networks!!! Thank you so much deeplearning.ai!!!

I learnt a lot through the programming assignments!! Beautifully created course!!!

By Ananya R

Jan 27, 2019

Great Course, just like the rest in the specialisation! Really like the method of teaching!! Some sections of the assignment were coded before hand but would have been nice to be able to code them as well. Thanks

By Kevin R

Mar 28, 2020

Overall the course was quite satisfactory and exhaustive learning. The explanation of professor Andrew Ng was very simple and understandable. I loved learning the course and completed it way before the due date.

By Omar R

Aug 12, 2019

Excellent course both in terms of content and the tools provided! Of course, you've got to put the effort to understand what's going on and pull together the bigger picture, especially in the weekly assignments.

By Marcin G

Feb 01, 2018

Amazing course. Andrew Ng has exceptional talent to explain complicated concepts. I have heard about RNNs in other courses but this is the first course, that actually made me understand them. Highly recommended.

By Mehregan K

Dec 15, 2019

This is just the beginning. you will have a flashlight, a rope, and some other necessary stuff. you might need to build necessary stuff and keep hiking. Enjoy learning basics of hiking from best hiker (prof NG)

By Adam P

May 22, 2020

Everything from the basic concepts such as GRUs and LSTMs to audio and language applications explained perfectly and simply in such a way that even a high school student like me could understand it. Thank you!

By aminedirhoussi

Apr 02, 2020

This is is a very good cutting edge course. I would like to have less ' help' in the programming assignments or replicate the CNN course by implementing research paper algorithms. ALL in ALL great great course

By Govind S

Jun 26, 2020

This series is a gem. Although, I have build some Deep Learning Models, this course provided me an in-depth knowledge of 'What, How and Why'. It enhanced my theoretical underpinnings of learning astoundingly.

By Bouazza A

Jun 03, 2020

this course is an excellent introduction in Sequence models and RNN, it helped me a lot as all the course in the specialisation.

thank you Andrew and all the stuff that contribute to the success of this course

By Zhanlue Z

Apr 18, 2018

The programming assignments are well designed and very practical. Finishing them is the best way to learn the techniques. This is the best class and recommend it to anyone who wants to learn sequence models.

By 曹杰

Apr 25, 2020

Great course. Although it is a little hard to grasp what RNN is doing from the beginning. It would be helpful if there's a simple demonstration what each step of RNN is doing at the beginning of the course.

By Yi X C

Dec 01, 2018

Amazing course. Amazing explanation of how Sequence Models work in a very intuitive and practical way. Amazing code examples - learnt a lot. Oh just one note though -- Durian is from Malaysia not Singapore!

By Davide C

Apr 03, 2018

I have to admit that this, together with the 4th course, was the most difficult one. However, I definitely learnt a lot from this course. Thank you very much to Prof. Andrew Ng and his assistant professors.

By Eyad E

Feb 22, 2018

Excellent course, just like all other courses of this specialisation. I highly recommend the whole specialisation for any one serious about DL. Thanks Prof Ng and thanks for his team for such great efforts.

By Ivo C

Jul 24, 2019

Excellent course, providing a broad range of theory and exercises to apply newly learned knowledge. It was time very well spent getting started in Deep Learning. A next more advanced course would be great!

By Krzysztof N

Mar 28, 2020

I really enjoyed the course but not only me. My kids had lots of fun with trying the emojifier exercise. Thanks a lot for all 5 courses, which I found just perfect way to quickly get some taste of the AI.

By Michael F

Nov 15, 2018

The materials in this course were fantastic, and the problems were extremely interesting. There are still some typos and glitches in the programming assignments, but I'm sure these will disappear in time.

By Chad B

Mar 10, 2018

Course content was great. Excellent content and pretty up-to-date material. The programming exercises had very cool examples, but sometimes it was unclear how to construct code (lots of web searching).

By Nobhomela

Aug 25, 2019

Very well structured course, most content does require self going over and full understanding as some concepts are not easy to grasp but nevertheless the explanations provided do help for the most part.

By Ruwan W

May 21, 2018

Well structured course with useful programming assignments. Provides an ungraded section with advanced materials to work on, which is good for those who want to implement DL algorithms from the scratch.

By Christianus F H

Feb 15, 2020

One of the best thing from this class is not only we can understand the concept of RNN, LSTM, etc, but also I also get the idea about how these technique can be used in many daily life applications

By Mohamed S R I

Oct 16, 2019

This is one of the most comprehensive yet enjoyable courses in the whole specialization! There are several assignments of practical applications. Thanks for the time and effort put into this course.

By Gyuho S

Apr 27, 2019

So many possibilities will be presented in front of you after this course. The only limit is the boundary of my imagination and creativity, that is how I feel now upon the completion of this course.

By Prateek G

Jan 26, 2019

This was a tough one. The specialization is well structured and slowly progresses in terms of complexity. Having worked on RNN, i thought I would ace the projects. Different story though at the end