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Learner Reviews & Feedback for Sequence Models by

23,593 ratings
2,735 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. 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


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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2401 - 2425 of 2,714 Reviews for Sequence Models

By Vivek K

Jul 20, 2018

Great practical experience. Would have preferred a bit more theory.

By Fady B

Jun 01, 2018

it covered a lot of interesting topics but it was a bit high level.

By Seyyed A S

Jun 18, 2020

great course to understand intuition of sequence modeling for NLP.

By guolianghu

Apr 05, 2020


By Bobby A

Jul 02, 2019

Well explained, I feel like it could go a bit more in depth though

By Martin T

Feb 13, 2018

Muy buen curso, resulta sumamente estimulante el ejemplo de woebot

By vikas c

Jun 20, 2019

The good course as the theoretical basis for RNN and other models

By Shilpa S

Mar 19, 2019

Attention Models is not that clear. Everything else is excellent.

By Andres R

Apr 02, 2018

Excellent lectures. Some programming exercises need more clarity.

By Armand L

Apr 28, 2019

Very hard, but not your fault, very good course ! Thank you !!!!

By Jose L F L

May 29, 2019

El curso esta muy bien peor deben añadir subtitulos en español

By Marisa F

Nov 18, 2018

I think this course needs to have a continuation to go deeper.

By Alex N

Mar 27, 2018

Grader was wrong sometimes. Typos everywhere in the notebooks.

By Akshay G

May 14, 2020

Good course but can add more models to get a deep dive in NLP

By Xinyu Y

Jul 01, 2019

There is some noise in the video which is greatly disturbing.

By SeptemberHX

Jun 30, 2018

Maybe should give some advice about the future learning path.

By Vitor M A

May 28, 2020

Great course focus on natural processing and music examples.

By Alvaro C

Jul 29, 2019

Much harder than previous ones, but also really interesting.

By Jedrzej P

Apr 29, 2018

Would have liked an example outside of nlp, otherwise awsome

By Anand B

Aug 20, 2018

Content is little less intuitive compared to other courses.

By Anugna R

Jul 15, 2020

codes are too long and it is taking time for codes to run

By Hassan E

Mar 02, 2019

Greeeeeeeeeeeeeeeat but less than the first four courses.


Nov 13, 2019

The program in the exercise is a bit hard to understand.

By Galvin W

Feb 23, 2018

Good when it came. Annoying for the 2 month launch delay

By David N

Apr 27, 2020

i'd like to have applications more suited to real world