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Learner Reviews & Feedback for Sequence Models by DeepLearning.AI

4.8
stars
31,206 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

AA

Mar 3, 2018

Dr. Ng and team did a great job! Dr. Ng delivered even the most complicated concepts in the most lucid way possible. Assignments created by the team are awesome and very good to work on! 5/5 course!

PG

Jan 25, 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

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3426 - 3450 of 3,837 Reviews for Sequence Models

By Dejoli L

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May 8, 2022

very important course concerning sequence in Deep learning.

By Anand B

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Aug 20, 2018

Content is little less intuitive compared to other courses.

By Anugna R

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Jul 15, 2020

codes are too long and it is taking time for codes to run

By Hassan E

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Mar 2, 2019

Greeeeeeeeeeeeeeeat but less than the first four courses.

By Dhanush H

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Jul 27, 2024

some real world video project overviews would help a lot

By Kit M C

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Nov 13, 2019

The program in the exercise is a bit hard to understand.

By Galvin W

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Feb 23, 2018

Good when it came. Annoying for the 2 month launch delay

By David C N S

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Apr 26, 2020

i'd like to have applications more suited to real world

By Vikas K

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Mar 31, 2019

it would have been better if he used more visualization

By Jarosław G

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Jan 21, 2019

There were a lot of problems with notebook task grader.

By Nick J

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Mar 11, 2018

Great course, but too many mistakes in the assignments.

By kasun s K

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Sep 19, 2021

thank you for this. this give good knowaledge for me

By Aloys N

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Oct 22, 2019

Good content, it would have been good to do more keras

By Rakesh k k

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Feb 22, 2021

Really Nice course to get basic understanding of NLP.

By 吴科炜

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Feb 16, 2021

Trigger word detection: submit homework is so hard...

By Johannes J

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Jun 27, 2019

Great insights, helpful notebooks, good explanations.

By Karol K

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Feb 26, 2018

Again, programming assignment should work flawlessly!

By Tisha

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Oct 25, 2022

Great course to understand sequence models and NLP.

By Roberto G

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Apr 5, 2020

un poco lentos los ejercicios y repetitivos comandos

By Saurabh P

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Feb 17, 2018

Very good introduction to RNNs and their variations.

By Luke R

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May 4, 2022

Great professional-level instruction and exercises.

By Jetro G

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Jul 24, 2018

Muy difícil en comparación con los demás anteriores

By Giri T

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Nov 5, 2022

This is pretty involved - especially the last week

By Kamran K

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Apr 11, 2021

I would prefer to be the student of Sir Andrew Ng.

By 阿刘

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Aug 6, 2020

这节课主要还是以入门为主，没有讲太多理论知识，序列模型部分讲解跳跃性较大，需要结合更多资料去仔细研究