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Voltar para modelos de sequência

Comentários e feedback de alunos de modelos de sequência da instituição

27,839 classificações
3,328 avaliações

Sobre o curso

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....

Melhores avaliações


30 de jun de 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.


29 de out de 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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451 — 475 de 3,329 Avaliações para o modelos de sequência

por Aby P

26 de jul de 2020

This is how a course needs to design, hats off guys a proper mathematical explanation for intuition. Andrew ng he has special quality how to draw students if topics are too hard that's what a good teacher needs.

por Anjali M

21 de jul de 2020

Dr. Andrew is the best instructor! The course not just covers the conceptual understanding but also connects you to everything that has happened/ is happening in the particular field, and the "Heroes" of course!

por Kevin R

28 de mar de 2020

Overall the course was quite satisfactory and exhaustive learning. The explanation of professor Andrew Ng was very simple and understandable. I loved learning the course and completed it way before the due date.

por Omar R

12 de ago de 2019

Excellent course both in terms of content and the tools provided! Of course, you've got to put the effort to understand what's going on and pull together the bigger picture, especially in the weekly assignments.

por Mehregan K

14 de dez de 2019

This is just the beginning. you will have a flashlight, a rope, and some other necessary stuff. you might need to build necessary stuff and keep hiking. Enjoy learning basics of hiking from best hiker (prof NG)

por Adam P

22 de mai de 2020

Everything from the basic concepts such as GRUs and LSTMs to audio and language applications explained perfectly and simply in such a way that even a high school student like me could understand it. Thank you!

por Amine D

2 de abr de 2020

This is is a very good cutting edge course. I would like to have less ' help' in the programming assignments or replicate the CNN course by implementing research paper algorithms. ALL in ALL great great course

por Govind S

26 de jun de 2020

This series is a gem. Although, I have build some Deep Learning Models, this course provided me an in-depth knowledge of 'What, How and Why'. It enhanced my theoretical underpinnings of learning astoundingly.

por Abdelkader B

3 de jun de 2020

this course is an excellent introduction in Sequence models and RNN, it helped me a lot as all the course in the specialisation.

thank you Andrew and all the stuff that contribute to the success of this course

por Srividhya S

27 de mai de 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

por Khoong L E

4 de out de 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!

por Zhanlue Z

18 de abr de 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.

por 曹杰

25 de abr de 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.

por Yi X C

1 de dez de 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!

por Davide C

3 de abr de 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.

por Eyad E

22 de fev de 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.

por YeLwinOo

26 de set de 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.

por Elias A

3 de jul de 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.

por Ivo C

24 de jul de 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!

por Victoire T

3 de set de 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!

por David M

4 de ago de 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

por Krzysztof N

28 de mar de 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.

por Michael F

15 de nov de 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.

por Frantisek H

4 de set de 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.

por Chad B

10 de mar de 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).