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Bewertung und Feedback des Lernenden für Sequenzmodelle von

27,839 Bewertungen
3,328 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....



30. Juni 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. 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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2926 - 2950 von 3,329 Bewertungen für Sequenzmodelle

von Andrea C

29. Aug. 2021

The most difficult of the series. Yet I enjoyed learning so many new things

von J V

24. Apr. 2020

Great Content with real-time example looking forward to doing more courses

von Andrius T

2. Nov. 2019

Please remove repetitions from videos, really annoying thing. Great job :)

von Luca C

13. Okt. 2019

Awesome notebooks to gain practical experience with deep learning systems.

von Philippe A

21. Okt. 2018

This course is very interesting! Again! It requires basic Keras knowlegde.

von EZ

18. Feb. 2018

Course is excellent. Assignment, however, could use some more refinement.

von Attili S

12. Aug. 2020

It would be good to extend some more detailed explanation in this course

von Sebastian M

7. Apr. 2019

need some reviewing in the optional parts of the programming assignments

von Guan W

10. März 2018

Excellent course content, but poor maintenance of programming assignment

von Filip V

25. Feb. 2018

Provides good exposure to sequence models for NLP and speech processing.

von Xirui Z

7. Apr. 2021

Instructions for labs are not clear enough, especially the layers part.

von Mandeep S G

25. Jan. 2020

Great exercises but videos were slightly rushed. Overall a good course.

von Vinod C

29. Apr. 2019

Good course. Feel a little bit rushed. Difficult to retain the concepts

von Chen L

14. März 2018

The content is great, but the programming exercises are full of errors.

von Xiao

8. März 2018

Some techniques for keras need to be clarified. Generally a good course

von Jon M

7. Juli 2021

I liked this particular set of lectures, too, now on to something new.

von Vamvakaris M

8. Sep. 2019

It required coding on keras and tensorflow not appropriate introduced.

von Rafael B d S

6. Aug. 2019

The Course is great! But the programming assignments has too many bugs

von Pete H

12. Dez. 2018

it's very difficult to submit last programming exercise "trigger word"

von Ishan S

27. Juni 2020

More clarification on what we are doing in the programming exercises

von Emanuel G

13. Dez. 2018

Great introduction to LSTMs, RNNs, GRUs, NLP and speech recognition.

von Nilesh R

20. März 2018

Great content but I felt it was bit rushed and squeezed in 3 weeks .

von Alex M

14. März 2018

The quality was a bit down but still very worthwhile and interesting

von Vivek K

20. Juli 2018

Great practical experience. Would have preferred a bit more theory.

von Fady B

1. Juni 2018

it covered a lot of interesting topics but it was a bit high level.