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Learner Reviews & Feedback for Sequence Models by DeepLearning.AI

4.8
stars
31,229 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

PG

Jan 26, 2019

This was a tough one. The specialization is well structured and slowly progresses in terms of complexity. Having worked on RNN, i thought I would ace the projects. Different story though at the end

BA

Jan 15, 2019

The material itself is very informative and useful. But I have to give "just" 4 stars because, the training videos have to be edited better and there were a few mistakes in the programing exercises.

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3476 - 3500 of 3,840 Reviews for Sequence Models

By Robert L

•

Apr 22, 2020

Very good introduction to sequence models

By tchaton

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Apr 24, 2018

Great courses. Only 4 because too short !

By Omar A

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Mar 21, 2018

More In depth optional videos are needed.

By Arjun A

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Jun 7, 2020

I found it not that easy to comprehend.

By Rohit P

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Dec 26, 2019

The assignments were mostly copy paste.

By dieter j

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May 31, 2019

Not that interesting for me personally.

By 吴致远

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Dec 8, 2018

jupyter notebooks with a bunch of error

By Sam P

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Dec 16, 2018

Fantastic lectures and helpful quizzes

By David D

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Jun 2, 2018

Notebooks seemed to be made in a hurry

By Dr. H H W

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Sep 22, 2019

good insights for RNN and time series

By Miguel V

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Dec 17, 2018

Some of the tests were a bit too easy

By LUKORITO M W

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Oct 1, 2022

With effort easy to digest content

By Kailash C

•

Mar 27, 2020

Need more inputs for keras library.

By Ganesh M S

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Apr 16, 2018

This sections was very interesting.

By Fu C C

•

Feb 9, 2018

an easy way to learn the conception

By Uran C

•

Apr 19, 2021

my knowledge about DL is upgrading

By Taihua L

•

Feb 26, 2018

Wish there was a tutorial on Keras

By Mustafa A

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Dec 17, 2019

Not good as the previous courses.

By Yeshwanth R T

•

Mar 27, 2018

It seemed a bit rushed in the end

By Ganesh

•

Sep 7, 2019

Good place to get back to basics

By Belén C S F

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Oct 27, 2018

not as good as the rest of the 5

By Marc M

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Jan 8, 2021

Good course to introduce to NLP

By Alvin K

•

Oct 25, 2020

This was really a great course.

By Mirta M R H

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Aug 27, 2020

Excelente curso, aprendí mucho.

By Bourne

•

May 7, 2018

课程很棒，内容很多，但是作业编程的提示有些少，耽误了不少时间