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Learner Reviews & Feedback for Sequence Models by DeepLearning.AI

4.8
stars
30,203 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

AM

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Excellent course! This course extensively covers all of the relevant areas of NLP with a strong practical element allowing you to applying Deep Learning for Sequence Models in real-world scenarios.

GS

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So many possibilities will be presented in front of you after this course. The only limit is the boundary of my imagination and creativity, that is how I feel now upon the completion of this course.

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1001 - 1025 of 3,671 Reviews for Sequence Models

By Marija M

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Mar 6, 2018

Very good video tutorials and elaborate text material, which is very instructive for completing the graded tasks.

By Umang R

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Jul 5, 2020

This course is good to understand the RNN, LSTM basics. I got so much info from this course still lot to explore

By Carlos E O S

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Jun 21, 2020

Greate experience hands on real life scenarios applying the theory behind the tools that are shaping the future.

By Omega I

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Feb 4, 2020

Simply the best. Programming assignments are fun and challenging.Would you please add more ungraded assignments?

By Gabriel S

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Jan 13, 2020

i want to be a researcher in deep learning because this specialization. Thank you very much for this opportunity

By Raviraaja L

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Oct 25, 2018

Wonderful courses, Thank you for Coursera and Andrew Ng providing opportunity to learn a loads in deep learning.

By Baliev D

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Aug 30, 2018

There are some annoying typos in programming assignements, especially in week 1, but overall a very good course!

By Gemeihong

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Jun 28, 2018

The course is terrific but the notebook experience is annoying, especially when you are using vpn to get access.

By Deniz K

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Jun 11, 2018

I give it 5 starts because there was nothing wrong with the course but it was sooooo boring. It was good overall

By Chongmo T

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Mar 8, 2018

Please correct the mistakes in the expected outputs in the homework assignments.

But overall it is a great course

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 Venkata R R R R

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Jun 17, 2024

Intuition , explanation and relevant labs provided good understanding to apply this to real time requirements

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.