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Learner Reviews & Feedback for Sequence Models by DeepLearning.AI

4.8
stars
25,078 ratings
2,939 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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2826 - 2850 of 2,914 Reviews for Sequence Models

By Mohsin J

Jun 07, 2018

This is only good enough, not good course. All previous ones were 5 stars, definitely!

By Thomas P

Apr 09, 2020

Overall a great class. I had some trouble understanding the programming assignments.

By Archana A

Oct 07, 2019

This felt the the least prepared and organized course of the series, unfortunately.

By Sebastien C

Aug 18, 2020

Good theoretical overview - project just require you to fill in lines of code

By Samit H

Aug 18, 2020

I found this course boring and also too many assignments in a single week.

By Tushar B

Jun 12, 2018

Issues with assignments. Took more than 4 hours to figure out the problem.

By Saeif A

Jan 03, 2020

This was the least clear course among the others. The others were great!

By Ragav S

Sep 18, 2019

Would like to learn a bit on how back-prop works when using attention.

By Gaetan J d B

Jun 17, 2019

fairly more complex and deeper as previous courses. Nice ex. however.

By Yun W

Apr 06, 2019

I feel this course is not as carefully designed as previous courses

By mayukh m

Apr 16, 2020

Trigger word detection - v1.ipynb bug is annoying. Course is good.

By yuichi k

Jul 27, 2020

ほぼ英語、プログラムの課題の問題を解決するのが非常に大変だった。bugも多いのでこなすのは苦労した。ビデオは相変わらず素晴らしい

By Prateek S

Apr 22, 2020

Good Course but lectures and assignments could have been better.

By bernd e

Mar 10, 2018

Should be five weeks instead of three. Dive deeper into Details

By Ar-Em J L

Oct 30, 2019

One of the weaker courses in the specialization. Felt rushed.

By Danilo G F R

Feb 06, 2018

Assigments too complicate without a necessary guide and help.

By André T D S

Oct 02, 2018

Bugs in the programming assignments grading kills the flow

By Rajarshi K

May 30, 2020

This course was comparatively boring than previous 4 ones

By Santosh B

Feb 19, 2019

I felt the last week had too many things packed together

By Shrishty C

Jul 06, 2018

Was little hard to understand at times. But it was good.

By Konpat P

Feb 16, 2018

Not as well done as before. But, still very informative.

By Edoardo B

Nov 15, 2019

Doesn't teach much about keras which is sorely needed

By Rajesh R

Feb 25, 2018

GRUs are poorly explained. Unable to get past Week 1.

By Kenzi L

Jul 19, 2020

a bit outdated due to lstm being not that s-o-a now

By karishma d

Jun 20, 2019

very basic ..would have wanted much advance level .