Chevron Left
Back to Sequence Models

Learner Reviews & Feedback for Sequence Models by DeepLearning.AI

4.8
stars
31,218 ratings

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

CD

Sep 27, 2018

Great hands on instruction on how RNNs work and how they are used to solve real problems. It was particularly useful to use Conv1D, Bidirectional and Attention layers into RNNs and see how they work.

SC

Jan 1, 2020

Learnt a lot about new concepts in RNN and LSTM. Really wanted to learn about these models. This course helped a lot. Everything was new and so fascinating. Loved this course and our teach Andrew NG.

Filter by:

3501 - 3525 of 3,839 Reviews for Sequence Models

By Sudikshan R

•

Sep 15, 2020

I finally have a superpower!!

By Tien N V

•

Jul 8, 2020

Really helpful and intersting

By Siyavash T

•

Jun 20, 2018

Quite a good course overall.

By Kong L

•

Jun 3, 2018

difficult to understand well

By Jean M A S

•

Mar 10, 2018

As always, amazing content !

By Niharika S

•

Jan 7, 2026

I can't get the certificate

By Radu I

•

Feb 20, 2018

Cool course, learned LSTMs.

By gaozhipeng

•

Feb 18, 2018

amazing introduction to RNN

By Shashidhara K

•

Feb 13, 2018

more exercise would be nice

By Jatin J

•

Jul 18, 2025

course is good but too old

By 封智博

•

Jun 3, 2020

希望讲得更细一些，多给一写intution帮助理解

By Prateek N

•

Oct 3, 2018

Assignments are awesome!

By Xavier W

•

Feb 3, 2018

It's really interesting!

By Md. M R

•

Oct 7, 2020

Andrew Ng. is too good.

By Enyang W

•

Sep 17, 2019

it is really not easy..

By Ashit G

•

May 13, 2019

more material is needed

By kumar s

•

Dec 11, 2018

Good work by Andrew NG.

By 김진수

•

Mar 10, 2019

It was a great lecture

By shuxiao C

•

Jun 16, 2020

希望编程部分可以更加自由, 做填空题没意思

By S S

•

Dec 9, 2022

It is fine but long

By A.V. A

•

Dec 2, 2022

Very informative!!!

By Ashwin A R

•

May 5, 2020

It was Amazing !!!!

By Kiran U K

•

Apr 21, 2020

Good course overall

By Ross H

•

Oct 14, 2018

Concise and helpful

By Wallfacer005

•

Feb 17, 2023

理解有点困难，没有前几个系列通俗易懂