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Learner Reviews & Feedback for Sequence Models by DeepLearning.AI

4.8
stars
29,852 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

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!

JY

Oct 29, 2018

The lectures covers lots of SOTA deep learning algorithms and the lectures are well-designed and easy to understand. The programming assignment is really good to enhance the understanding of lectures.

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676 - 700 of 3,621 Reviews for Sequence Models

By JOAN G V A

Sep 14, 2020

Wonderful. Fun. Interesting. Relevant.

Only improvement: free extended versions of the notebooks, ungraded, with the long process to do the end-to-end projects.

By Sann S S Y

Jul 18, 2020

This course is very affect to fill my knowledge during pandemic. I hope to get more knowledge by learning courses related with machine learning and AI on here.

By Sarfaraz K

Feb 26, 2019

Awesome course, no other online course can match the depth and breadth of the content. State of the art information and super useful and practical assignments.

By Gilles A

Aug 3, 2018

Great, very usefull with both fundamental understanding of the sequence model, and great practical exercises unsing Keras both to fully understand and gain pra

By Jinkai W

Jul 4, 2018

Finally, finish the 5 courses, really appreciate Andrew's helpful instruction and the inspiring homework. These courses really help me get a big picture of DL.

By Ferenc F P

Mar 22, 2018

Very good introduction to RNN, GRU and LTSM neural networks with good practical examples. Recommended for those who want to understand how these networks work.

By Buddhika L

Mar 3, 2018

This is a very practical course on using Deep sequence models such as RNNs, LSTM and GRU. Lots of real world application based assignments. Thank you Prof. Ng!

By Lambertus d G

Dec 12, 2020

This one being the most challenging course of the specialization imo and required some digging. I guess its the icing on the cake if you manage to complete it

By Gordon L W C

Aug 11, 2019

The sequence model is very complete and teaches most of the important concepts using RNN. I think it is a very nice foundation for whoever wants to learn RNN.

By Liam A

Aug 4, 2019

Very difficult course, but perfectly complete-able if you studied Courses 1, 2 and 4. Would like to learn something like reinforcement learning in the future!

By Yuan J Y

Aug 10, 2023

❤️ Every piece of resources and knowledge from Andrew's course is powerful for any kind of work 💯. This course is a must-study for every DS & MLE & SDE~👍🙏

By metin s

Sep 18, 2021

I think DLS_Courses are excellent. I liked all the courses. I am glad that I have completed the courses. Many thanks to Andrew_NG and his teammates.😊👏✔👍😊

By jerry81711@gmail.com

Nov 20, 2020

Andrew Ng is a great teacher who could explain complex concepts clearly. And the teaching materials are well prepared. I enjoyed the course a lot. Thank you.

By Aaron R

Mar 31, 2020

Great course! Covers all the essential material. The discussion on attention is the simplest explanation I've come across but gets into all necessary detail.

By Aswin S T

Aug 6, 2019

This course extensively covers the aspects of NLP and its various use cases. It will be of an excellent start for me on my pursuit of research in this field.

By Thejus H R

Jul 3, 2020

Really enjoyed it, but it was definitely more complicated than any of the other 4 courses in the specialization! Andrew NG is a phenomenal teacher, love it!

By Ioannis

Apr 28, 2020

Very good course. Would be nice to offer yearly or biyearly updates on the latest influential research targeted to graduates of deep learning specialization

By Bharat R J

Apr 4, 2020

nice videos on sequence modelling , LSTM , types of RNNs, GRUs , intuition on natural language processing and doing the assignments were really interesting.

By Luke S

Dec 10, 2022

This specialization series is well-designed, comprehensive and condensed, and Andrew's style is charming, the learning process will be a pleasant journey.

By Hao X

Aug 26, 2020

I really enjoy and am expressed by how sequence models contribute to NLP, speech recognition, etc. I do think this inspires me to explore more in the field

By Mark

Jun 7, 2020

Fantastic specialization! Thank you Andrew and the other course contributors. I am inspired to go out and use my new Deep Learning super power for good :-)

By Badr S

Feb 20, 2020

As always, Andrew is absolutely amazing at transmitting advanced knowledge and making it accessible to most people. Thank you Andrew and the whole team !

By Arnav C

May 14, 2019

Loved this course. It was everything I expected and more. Always had a hard time understanding attention mechanism and Dr Andrew Ng explained it very well.

By Emilian A

Apr 16, 2018

I find CNN/RNN courses very helpful, but I would highly recommend to improve the exercises. Some typo mistakes can result in hours wondering what is wrong.

By Harshal R P

Jul 1, 2020

Excellent content and hands on assignments provides the best ever learning experience ever. I would like to thank all the content creators of this course.