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Bewertung und Feedback des Lernenden für Sequenzmodelle von

28,122 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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3326 - 3350 von 3,373 Bewertungen für Sequenzmodelle

von Guruprasad K

9. März 2022

Compared to the other courses in the specialization, this appears to lack depth and clarity one could expect. LSTMs and GRUs are somewhat out-dated now, given the speed of innovation in the field, and Transformers are here to stay (for now). Unfortunately, Transformers are very poorly covered.

von Peter B

20. Feb. 2018

Getting the input parameters correct for the Keras assignments is on par with the satisfaction of dropping a ring, contact lens, or an expensive object into the sink, and spending an hour looking for it inside the disassembled pipes, through built up hair debris and molded dirt.


19. März 2018

Overall a great course, thanks to Andrew NG for his great explanations. But a very bad support, I faced many issues in submitting the assignment due to technical issues (notebook not saving) but no dedicated resource to help me. I spend lot of time in resolving my self.

von Sergei S

18. Mai 2019

Feels again like authors tried to put everything into just a couple of weeks, thus the course turned out to be messy with lots of details hidden. Even though there was a lot to learn, I am still not sure if I understand correctly how to build a simple sequence model.

von Clement A

7. Aug. 2020

Really good to understand the basics, however, it doesn't use the latest TF2 and the exercises are either trivial because too much pre-worked, or too hard because it doesn't give the information required to succeed.

This course really needs to be updated.

von Mladen M

9. Juli 2020

Programming assignment instructions are not well written (clear), and as a result it is easy to get stuck on something of little relevance to deep learning. Also, I would suggest that you make the lecture notes in written format available.

von Chris M

21. Aug. 2019

The lectures cover the basic design of the models but don't help teaching you how to actually use them. I learned more by reading blogs to get the programming assignments to work then this course.

von Ashley H

14. Sep. 2018

Lectures/Videos were excellent, the assignments were very poor (loads of errors in the code not corrected over 7 months since the course went live)

von yuvaraj

11. Dez. 2020

The course videos were very lengthy and difficult to follow. Many topics discussed in course video were not part of programming assignment

von Simeon S

18. März 2020

Good introduction to the concepts. Really poor quality videos and exercises. Very frustrating when working on the assignments.

von David L

28. Juni 2020

Good lectures. Programming assignments are useless fill-in-the-blank exercises, you don't really learn much from them.

von Thomas A

10. Okt. 2019

The programming assignments really are like pulling teeth. There's not really enough guidance leading up to them.

von Mark

24. Okt. 2018

The course videos and the programming assignments were lacking. And there was no support in the forums.

von Jeffrey S

2. Juni 2018

Spent more time trying to work around a buggy grader than learning the underlying concepts.

von Frank T

23. Okt. 2019

Too hard to understand compared to the previous coursed in this specification.

von Dipesh K

13. Aug. 2022

Tough to comprehend. A little bit of written explanation might have helped.

von Hamid A

13. Nov. 2020

Was very difficult. please add more expiation of mathematical equations.

von Sukeesh

18. Apr. 2020

Little unsatisfied with the final part of the specialization.

von Clashing P

12. Sep. 2021

assignments are very hard and needs lots and lots of search

von Arsh K

20. Aug. 2019

Lack of Keras training made it often hard to do layer code.

von Tom T

9. Jan. 2020

This course needs more instruction on Keras.

von Mark N

12. Feb. 2018

Poor explanation for alot of things

von Milica M

10. Mai 2020

boring and uninformative

von João P B D

4. Jan. 2019

Too difficult.

von Martin B

11. März 2018

Needs work.