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Learner Reviews & Feedback for Sequence Models by DeepLearning.AI

4.8
stars
29,853 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

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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1526 - 1550 of 3,621 Reviews for Sequence Models

By 徐晴晴

Mar 5, 2021

讲解通俗易懂,编程的例子是一些很好的实际小项目,不仅增长了关于DL的基础知识,也通过这些例子对DL有了更深入的物理支局

By Walker J

Dec 29, 2020

This is a great course. Well structured and easy to follow.

By Federico A

Jun 16, 2020

Great course! I am looking forward to apply RNN in my work.

By Manpreet S

Apr 9, 2020

really good course to help you understand all types of rnns

By Sophie Z

Apr 4, 2020

LSTM is by far the most complicated programming assignment.

By Aniket S

Mar 2, 2020

Excellent starting point for understanding sequence models.

By Mohamed C S

Sep 10, 2018

Excellent just like the other courses of the specialization

By Anik J

Jul 4, 2018

It is one of the best series of courses for Deep Learning!!

By Pankaj M

Apr 4, 2018

Can't beat Andrew Ng's teaching whether it's CNN or LSTM...

By Deleted A

Mar 30, 2018

Great course with fun and relevant programming assignments.

By Raoul M

Mar 30, 2018

Great lectures combined with great exercises. Professional.

By YASIN M

Feb 21, 2018

Awesome as always! Thanks Andrew! Loved the specialization.

By Joseph L

Feb 17, 2018

Very useful course, and it has very good demo applications.

By Hila M

Nov 14, 2022

Thank you so much

Please add Hebrew subtitles to the videos

By Ronakkumar N P

Sep 6, 2020

This course gave me a good knowledge of sequential models.

By Ricardo A J C

Aug 8, 2020

Very good course on language networks with emphasis in RNN

By dbw413

May 29, 2019

The course worth learning, but the exercises can be better

By Frédéric M

Apr 4, 2019

Amazing course that uses current models such as attention!

By Mallikarjun C

Mar 1, 2019

Excellent course with good practical programming exercises

By Ajay M

Dec 31, 2018

Great course for someone starting NLP using Deep learning.

By 黃飛

Dec 27, 2018

Wonderful course series to get quick start on AI learning.

By XUAN L

Jun 10, 2018

The online jupyter notebook sometimes is difficult to use.

By lun c

May 14, 2018

Final course, still full of energy to learn! Great course!

By Michael D

Mar 23, 2018

Worthwhile conclusion to the deep learning specialization.

By Gabriel P

Feb 28, 2018

Great with very useful projects to get hands on experience