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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

AM

Jun 30, 2019

The course is very good and has taught me the all the important concepts required to build a sequence model. The assignments are also very neatly and precisely designed for the real world application.

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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501 - 525 of 3,621 Reviews for Sequence Models

By Srividhya S

May 27, 2022

I loved the graded coding exercises. Took forever for a noob like me to understand few points, but I eventually did. And it made all the difference. Thank you for creating such a well drafted course ! Cheers

By Khoong L E

Oct 4, 2020

After several months of completing this specialization, I will still come back to refresh and further strengthen my understanding via Andrew's excellent explanation on the topics. Thanks Andrew and his team!

By Zhanlue Z

Apr 18, 2018

The programming assignments are well designed and very practical. Finishing them is the best way to learn the techniques. This is the best class and recommend it to anyone who wants to learn sequence models.

By Jaume

Oct 15, 2022

Hard sometimes for someone how is not familiar with Python to understand how an object is the class is called. I would be nice if there were some examples, what it means and how it works to call an object.

By 曹杰

Apr 25, 2020

Great course. Although it is a little hard to grasp what RNN is doing from the beginning. It would be helpful if there's a simple demonstration what each step of RNN is doing at the beginning of the course.

By Yi X C

Dec 1, 2018

Amazing course. Amazing explanation of how Sequence Models work in a very intuitive and practical way. Amazing code examples - learnt a lot. Oh just one note though -- Durian is from Malaysia not Singapore!

By Davide C

Apr 3, 2018

I have to admit that this, together with the 4th course, was the most difficult one. However, I definitely learnt a lot from this course. Thank you very much to Prof. Andrew Ng and his assistant professors.

By Eyad E

Feb 22, 2018

Excellent course, just like all other courses of this specialisation. I highly recommend the whole specialisation for any one serious about DL. Thanks Prof Ng and thanks for his team for such great efforts.

By Thomás I

Feb 25, 2023

I certainly feel I learned a lot from these courses, and have already applied quite a bit of what I have learned in my job. Thank you for offering this specialization, and thank you to all the instructors!

By YeLwinOo

Sep 26, 2020

I have just finished the whole Deep Learning Specialization. Andrew Ng is an awesome teacher. He is one of my heros, too. For AI enthusiasts like me, this specialization is one of the best choice to learn.

By Elias A

Jul 3, 2020

I seriously didn't want this to end. Completing this specialization has been a joy from the beginning. Prof. Ng is absolutely brilliant and one of the best educators I have had the pleasure to study under.

By Ivo C

Jul 24, 2019

Excellent course, providing a broad range of theory and exercises to apply newly learned knowledge. It was time very well spent getting started in Deep Learning. A next more advanced course would be great!

By Victoire T

Sep 3, 2021

All great, very explicit and detailed. I just hope we can add more application exercices to the last week content so that we know better how to use Transformer Network. Thanks Andrew and all team members!

By David M

Aug 4, 2021

All specialization is the greatest starting point in Deep Learning in the world

I switched from software engineering to deep learning (my current working place)

Starting GANs specialization

Thank you so much

By Krzysztof N

Mar 28, 2020

I really enjoyed the course but not only me. My kids had lots of fun with trying the emojifier exercise. Thanks a lot for all 5 courses, which I found just perfect way to quickly get some taste of the AI.

By Michael F

Nov 15, 2018

The materials in this course were fantastic, and the problems were extremely interesting. There are still some typos and glitches in the programming assignments, but I'm sure these will disappear in time.

By pooya

Aug 7, 2022

these courses were so useful for me. but it has one problem. which is preprocessing. in all of the assignments, all of the data were ready to use. we have not learned to much about preprocessing on data.

By Frantisek H

Sep 4, 2020

Excellent course - Andrew's teaching is what's so needed in the machine learning community. He explains concepts properly so that one truly understands them, and thus knows what to do when applying them.

By Chad B

Mar 10, 2018

Course content was great. Excellent content and pretty up-to-date material. The programming exercises had very cool examples, but sometimes it was unclear how to construct code (lots of web searching).

By Nobhomela

Aug 25, 2019

Very well structured course, most content does require self going over and full understanding as some concepts are not easy to grasp but nevertheless the explanations provided do help for the most part.

By Ruwan W

May 21, 2018

Well structured course with useful programming assignments. Provides an ungraded section with advanced materials to work on, which is good for those who want to implement DL algorithms from the scratch.

By IMAD S

Sep 29, 2023

Thank you so much Andrew for this course, I was not expecting that it will contain all this valuable information about different model architectures in NLP and the programming exercises were great too.

By Marco M

May 8, 2023

Fantastic finish to the series. I started this course knowing nothing about sequence models and finished with enough understanding to fill-in-the-blanks building a Transformer in tensorflow. Thank you!

By Melody K

Mar 14, 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

By h_st

Aug 1, 2021

I liked the profound and deep explanation of the underlying maths and the procedure of neuronal networks very much. Also to be able to programme a neuronal network on my own was really impressive.