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Bewertung und Feedback des Lernenden für Sequenzmodelle von

27,640 Bewertungen
3,300 Bewertungen

Über den Kurs

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....



13. März 2018

I was really happy because I could learn deep learning from Andrew Ng.\n\nThe lectures were fantastic and amazing.\n\nI was able to catch really important concepts of sequence models.\n\nThanks a lot!


29. Okt. 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 von 3,302 Bewertungen für Sequenzmodelle

von Amine D

2. Apr. 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

von Govind S

26. Juni 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.

von Abdelkader B

3. Juni 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

von Khoong L E

4. Okt. 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!

von Zhanlue Z

18. Apr. 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.

von 曹杰

25. Apr. 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.

von Yi X C

1. Dez. 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!

von Davide C

3. Apr. 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.

von Eyad E

22. Feb. 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.

von YeLwinOo

26. Sep. 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.

von Elias A

3. Juli 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.

von Ivo C

24. Juli 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!

von Victoire T

3. Sep. 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!

von David M

4. Aug. 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

von Krzysztof N

28. März 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.

von Michael F

15. Nov. 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.

von Frantisek H

4. Sep. 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.

von Chad B

10. März 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).

von Nobhomela

25. Aug. 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.

von Ruwan W

21. Mai 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.

von h_st

1. Aug. 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.

von Jaskooner S

13. Juli 2020

brilliant course, great quality instruction from Andrew Ng. The only faults are that some of the labs have not been supervised properly being a but buggy and a couple of later lectures were very dry.

von Gabriel A

15. Juli 2021

the assignments were a really good format for someone who hasn't learned how to derive wrt multiple variables. It made sense to have the formulas provided to introduce a context for me: a developer.

von christianus f

15. Feb. 2020

One of the best thing from this class is not only we can understand the concept of RNN, LSTM, etc, but also I also get the idea about how these technique can be used in many daily life applications

von Mohamed S R I

16. Okt. 2019

This is one of the most comprehensive yet enjoyable courses in the whole specialization! There are several assignments of practical applications. Thanks for the time and effort put into this course.