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Learner Reviews & Feedback for Sequence Models by DeepLearning.AI

4.8
stars
31,131 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.

EM

Jun 12, 2019

A really joyful introduction in the Sequence Models, such as RNNs, LSTM etc. Sometimes the assignments got a little hard and with patience and help from forums, it gets achievable! Thanks again! :D

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2626 - 2650 of 3,821 Reviews for Sequence Models

By Lei Y

•

Apr 7, 2020

Remarkable!

By amit a

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Mar 22, 2020

Excellent !

By Bằng P C

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Mar 20, 2020

good course

By Sebastian Q

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Mar 9, 2020

Excelent!!!

By anshu d

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Dec 3, 2019

Interesting

By Nitin A

•

Aug 22, 2019

Good course

By Yunfei C

•

Jun 21, 2019

nice course

By Hamza A

•

Apr 11, 2018

Excellent !

By Xu Z

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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 Alexander d C O

•

Jan 24, 2025

Excellent.

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

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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!