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Bewertung und Feedback des Lernenden für Sequenzmodelle von

28,085 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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2901 - 2925 von 3,368 Bewertungen für Sequenzmodelle

von Cameron W

16. Sep. 2019

I felt like important concepts were glossed over far more in this course than previous courses in this curriculum.

von Pengfei J

22. Feb. 2018

The update and correction of error should be more effectively and actively managed. That's the only error so far.

von Andres F O J

29. Aug. 2020

The assignments should be after each topic or lecture because in the end is difficult to enhance the knowledge.

von Claus E

29. Apr. 2020

Good course, but the errors in the last exercise was annoying and I missed a bit more about speech recognition.

von Adam

11. Apr. 2020

Only complaint is that the exercises are too easy when all answers are practically given in the hints section.

von Jan Z

23. Feb. 2018

Interesting topics but some fairly frustrating assignments. Happy to get a better understanding of NLP though!

von Abdoulaye

14. Juni 2020

Super excited to finish this course. I've tone of questions not answered in forums I'm still waiting answers.

von Paulami D

12. März 2018

This was the toughest one of the 5. Great learning, but may be it could've been made a tad bit more intuitive

von Tung V t

28. Nov. 2021

the course is very comprehensive however more details about how backpropagation is done would be great !!!

von S A

2. Juli 2018

The quiz section needs to improve. It would be helpful that notes be also given as an outline of the ppts.

von Aleksandar B

20. Mai 2018

A bit too much material without going in depth anywhere. Also, code-grader sometimes behaves very strange

von Kiran S

4. Feb. 2019

Some inconsistencies with the HW level (week 2 basically told you what to write) but very good lectures.

von Brandon C

11. Dez. 2018

Keras exercises tough to get through based on provided information, but the content was superb as always

von Paul H C

19. Nov. 2018

Really good course. Exercises are not always connected to the core of the deep learning problem though..

von Sharon M

19. Sep. 2019

The course is great , in the assignments it is better to stick to single package and TF is preferable.

von Jorge L G

29. Jan. 2019

Highly recommended course to understand the concept of speech recognition models, very real use cases.

von Alex K

15. März 2022

G​reat lectures, but "fill-in-blanks-and-rewrite-math-formula-using-python" assignments were annoying

von Fabrizio B

4. Juni 2020

Very good course. Only, sometimes a bit more cryptic respect to the other ones in the specialization

von Zhiliang W

25. Jan. 2019

Great lectures. The quality of exercises are also amazing, although some typos should be fixed asap.

von Yixuan Z

24. Aug. 2020

Some concepts need to be explained more detailed, otherwise I feel hard to keep up with the lecture

von Zhao C

19. Apr. 2019

Great class. However, they are some typos/mistakes in the explanations of programming assignments.

von Amiya M

21. Okt. 2018

learned a lot but I wish their should be some sort of referencing material for further exploration

von Alex R

25. Feb. 2019

Lecture content is pretty good. Exercises are much more finicky (less robust) than prior courses.

von MD Q A

9. Apr. 2018

more excercise should be there in last course, but overall content was very good

thanks Andrew ng

von Sooraj M S

13. Mai 2018

The Attention model still needs more explanation. I haven't completely grasped attention models