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Learner Reviews & Feedback for Sequence Models by DeepLearning.AI

4.8
stars
25,831 ratings
3,042 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 13, 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 29, 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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2676 - 2700 of 3,013 Reviews for Sequence Models

By Armand L

Apr 28, 2019

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

By Julio T T

Sep 28, 2020

Exercises have less quality than the ones in previous courses.

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 muhammad A

Nov 15, 2020

awesome, but need more animation for understand general works

By Akshay G

May 14, 2020

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

By Xinyu Y

Jul 1, 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 2, 2019

Greeeeeeeeeeeeeeeat but less than the first four courses.

By KIT M C

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 26, 2020

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

By Vikas K

Mar 31, 2019

it would have been better if he used more visualization

By Jarosław G

Jan 21, 2019

There were a lot of problems with notebook task grader.

By Nick J

Mar 11, 2018

Great course, but too many mistakes in the assignments.

By Aloys N

Oct 22, 2019

Good content, it would have been good to do more keras

By Johannes J

Jun 27, 2019

Great insights, helpful notebooks, good explanations.

By Karol K

Feb 26, 2018

Again, programming assignment should work flawlessly!

By Roberto G

Apr 5, 2020

un poco lentos los ejercicios y repetitivos comandos