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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

MK

Mar 13, 2024

Cant express how thankful I am to Andrew Ng, literally thought me from start to finish when my school didnt touch about it, learn a lot and decided to use my knowledge and apply to real world projects

WK

Mar 13, 2018

I was really happy because I could learn deep learning from Andrew Ng.

The lectures were fantastic and amazing.

I was able to catch really important concepts of sequence models.

Thanks a lot!

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1001 - 1025 of 3,621 Reviews for Sequence Models

By Marcelo F Z

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Apr 28, 2023

Great course, with very valuable material, especially the assignments, and Andrew Ng is a fantastic instructor!

By Eduardo A R

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Jan 14, 2021

This was an excellent course. The notebooks were very useful and helped to understand the concepts much better.

By Thar H S

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May 28, 2020

This the most simplest and useful course I have ever seen. Thank a lot deeplearing.ai for creating this course.

By sevil r

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Jun 3, 2019

the best and useful course for who desire to model sequences or extract spatio temporal features from sequences

By Matthias P

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Apr 6, 2018

By far the most challenging course in the specialisation but also very rewarding when you worked through it! :)

By Sergey P

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Feb 19, 2018

Excelent! Week3 PA have some errors that should be fixed. Threre is no GPU keras examples. Thank you very much!

By bao t c

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Jan 2, 2019

Shortest way to get used to most of the up-to-date techniques used in deep neural network for sequential data!

By phanidhar i

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Mar 9, 2024

Andrew is always exceptional and so is the course content. All my thanks to the course creators behind Andrew

By kritsada a

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Jun 17, 2020

This course very impressive, I have experienced a lot in deep learning, I re-cap theorem or something i miss.

By Yiyi J

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Apr 11, 2020

This is very helpful for a beginner in deep learning. Thank you Ng for offering such wonderful courses online

By Amit L

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Jun 30, 2023

Great course, I have learned a lot, great labs and the explanation is clear and well organized, Thanks a lot

By Alicia L

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Aug 19, 2020

Todos los ejercicios fueron de mucha utilidad y explicaron conceptos muy complejos de manera muy entendible.

By bala K K

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Feb 8, 2020

Excellent Course, Teaches RNN and LSTM from absolute scratch and its applications to process sequence models

By Damola O

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Jun 2, 2019

Insightful and very practical implementations. Thank you legendary Andrew Ng and Coursera for the privilege.

By Hao D

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Apr 8, 2019

the most difficult course of this series, it takes me really a long time to finish it, but i think it worth!

By Mischa L

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Feb 10, 2018

Very nice course on RNN. there are a couple of unpolished edges, but this is been quickly fine-tuned by TA's

By Song G

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Sep 2, 2020

Very clear demonstration of how models work. Clear and detailed instructions in exercises for easy hands-on

By Pushkar G

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Jun 13, 2020

This course taught me concept which I never thought I could apply to my chemistry research. Very well made.

By Khan S B H

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Apr 30, 2020

Amazing course! Lectures on RNN, LSTMs and Bi-LSTMs were amazing and the assignments were also very helpful

By Max F

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Apr 20, 2020

Thanks for all the hard work you've put in the course. I couldn't wish for a better start in deep learning.

By Ankit K S

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Dec 16, 2019

Best course specialization on Sequence Models. Programming assignments are really great source of learning.

By Zachary

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Oct 19, 2019

Great course and professor. My one critique is to just go a little more in depth on using Keras. Thank you!

By Abhinav k

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Jun 20, 2019

Thanks, Andrew Ng for all the efforts and time for creating such a wonderful course accessible to everyone.

By Edir G L

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Aug 26, 2018

This is the best course on the deep learning specialization. You learn the most novel and useful deep nets.

By Shantanu S

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Jun 16, 2018

The Jupyter notebook ,ust be improved. it has constant connection problems. it fails connection in between.