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Learner Reviews & Feedback for Sequence Models by DeepLearning.AI

4.8
stars
25,914 ratings
3,054 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

AM
Jun 30, 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.

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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2951 - 2975 of 3,024 Reviews for Sequence Models

By Santosh B

Feb 19, 2019

I felt the last week had too many things packed together

By Shrishty C

Jul 6, 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a bit outdated due to lstm being not that s-o-a now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 .

By Saumya T

Jun 9, 2019

Codes are not explained. Some codes files are given

By Sravan

Apr 19, 2019

Works as a primer. Assignments aren't that great.

By Jerry Z T

Aug 18, 2020

The learning embedding part is kindof confusing

By Prashath M

Dec 29, 2020

Excellent content

poor support from the website

By Abhishek S

Jun 15, 2020

Great course but has been dumbed down too much

By Yue

Apr 26, 2019

Esperaba que los ejemplos fueran de otra forma

By Jazz

Oct 10, 2019

Should add some instruction videos of Keras

By Shanger L

Jun 4, 2018

does HW created/reviewed by different ones?

By Parikshit D

May 27, 2018

The assignments are not very satisfactory..

By CLAUDIO G T

Apr 5, 2020

Not so well explained as the other courses

By Xueying L

Jul 22, 2018

Too narrow focusing on applications in NLP

By Rahul T

Aug 9, 2020

Programming exercises was very confusing.

By Ritesh R A

Feb 2, 2020

Course should have have more descriptive

By Liang Y

Feb 10, 2019

Too many errors in the assignments

By guzhenghong

Nov 17, 2020

The mathematical part is little.

By julien r

May 25, 2020

second week was hard to follow

By stdo

Sep 27, 2019

So many errors need to fix.

By ARUN M

Feb 6, 2019

very tough for beginners