Chevron Left
Back to Sequence Models

Learner Reviews & Feedback for Sequence Models by DeepLearning.AI

4.8
stars
30,414 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

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.

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.

Filter by:

2551 - 2575 of 3,697 Reviews for Sequence Models

By Xu Z

•

Mar 20, 2018

very thanks

By Claudio B

•

Mar 4, 2018

Outstanding

By Alexey K

•

Feb 21, 2018

The best!!!

By Kaihua T

•

Feb 8, 2018

very useful

By Niv C

•

Jun 1, 2024

Excellent!

By 谭博予

•

Apr 19, 2023

very good!

By Saurabh H

•

Sep 12, 2022

Best Ever

By 薛舒心

•

May 4, 2022

Thank you!

By 徐洁

•

May 4, 2022

Thank you!

By larawang

•

Apr 13, 2022

Thank you!

By Zelin W

•

Jan 20, 2022

Thank you!

By Qi S

•

Jan 19, 2022

Thank you!

By Chen

•

Jan 9, 2022

Thank you!

By Shaofei Q

•

Dec 3, 2021

Thank you!

By Yi C

•

Oct 25, 2021

Thank you!

By Quan Y

•

Oct 23, 2021

Thank you!

By Francisco F E S

•

Oct 8, 2021

Very good!

By 胡郢浩

•

Sep 18, 2021

very good

By A. R S U

•

Sep 10, 2021

Great one!

By 陆瀚哲

•

Aug 22, 2021

very good!

By Karl G

•

Mar 1, 2021

Excellent!

By Tiago d L

•

Aug 16, 2020

very nice!

By YUXIN Z

•

Aug 14, 2020

excellent!

By Ben - C L Y

•

Jun 14, 2020

Excellent!

By Greg F

•

May 8, 2020

Good stuff