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Learner Reviews & Feedback for Sequence Models by DeepLearning.AI

4.8
stars
27,119 ratings
3,227 reviews

About the Course

In the fifth course of the Deep Learning Specialization, you will become familiar with sequence models and their exciting applications such as speech recognition, music synthesis, chatbots, machine translation, natural language processing (NLP), and more. By the end, you will be able to build and train Recurrent Neural Networks (RNNs) and commonly-used variants such as GRUs and LSTMs; apply RNNs to Character-level Language Modeling; gain experience with natural language processing and Word Embeddings; and use HuggingFace tokenizers and transformer models to solve different NLP tasks such as NER and Question Answering. The Deep Learning Specialization is a foundational program that will help you understand the capabilities, challenges, and consequences of deep learning and prepare you to participate in the development of leading-edge AI technology. It provides a pathway for you to take the definitive step in the world of AI by helping you gain the knowledge and skills to level up your career....

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.

JS
Jul 12, 2020

brilliant course, great quality instruction from Andrew Ng. The only faults are that some of the labs have not been supervised properly being a but buggy and a couple of later lectures were very dry.

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3126 - 3150 of 3,223 Reviews for Sequence Models

By Archana A

Oct 7, 2019

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

By Sébastien 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 3, 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 6, 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 5, 2018

Assigments too complicate without a necessary guide and help.

By Morgan H

Nov 15, 2020

Less clear instruction than other courses in specialization

By André T D S

Oct 1, 2018

Bugs in the programming assignments grading kills the flow

By Sri R

Dec 7, 2020

This course is not satisfactory than the previous courses

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 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 I

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 .