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Bewertung und Feedback des Lernenden für Sequenzmodelle von

27,886 Bewertungen
3,333 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....



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.


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.

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3301 - 3325 von 3,335 Bewertungen für Sequenzmodelle

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 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.

von Alex L

5. März 2018

I feel sad.

von zhesihuang

3. März 2019


von Selina M

6. Aug. 2021

The course overall taught me new things, but I am still kinda unsure how to exactly use it.

The exercises and explanations weren't as enlightening as earlier and unfortunately left me rather confused, despite passing 100%. You definitely need to consult a lot of other sources for understanding the topic.

The last transformer exercise left me stunned though in how bad it was. When I understood something it contained obvious mathematical inconsistencies. It was the first time I needed the forum help, which is outside the coursera website and they force you to sign up in addition to coursera.

The tutor reacted fast but extremely patronising, going so far as pretending mistakes in the exercise didn't exist, but very eager to blame me for using an outdated version, that I wasn't using.

Did not enjoy the experience.

von Aldiyar K

12. März 2021

Oversimplifying material, such as not showing any math foundations and proofs, does not lead to an intrinsic understanding of the material as well as fill-the-gap assignments do not enhance comprehension.

I understand that the course is intended for the broad audience but will one be able to implement those Keras and TensorFlow algorithms on a moderately complex problem, which is the ultimate goal of these courses? Highly doubt it because the code is pre-written for students and step-by-step guide is provided. In my opinion, one could go straight to assignments and induct / deduct the answers.

von devesh r

19. Okt. 2020

I love Dr. Andrew, I seriously do. He has inspired me in the field of Deep Learning like no one else did. But I detest how this course is made so expensive and in a wrong direction. I subscribed and paid $225 and I still was not given a decent amount of time to finish the course, even when I asked for extension. If this is the way these courses are, its better of learning from youtube. It is not worth the money

von Franjo I

10. Mai 2020

Dry and uninformative. Immense space for improvement. Corrections should be made to videos instead of having numerous revisions comments after lecture. Some variables introduced haphazardly. Notation not explained well, some clashing with linear algebra conventions. Coding exercises are elementary hyper guided.

von Krishnamurthy N

2. Apr. 2021

Grader is the worst and no help even in the forums inspite of getting the same output the grader is still failing and no one is telling why. Forced to drop out of this course now

von Inaki O d L

7. Apr. 2021

Clearly the less structured and more confusing Course within the DeepLearning Specialization, a bittersweet end to an otherwise great set of courses. Quite disappointed.

von Deleted A

8. Sep. 2020

I would like to abandon this course and stop paying for a course I want to prepare better before maybe launching a new attempt..

von Mohammed A

9. März 2022

Very bad experiance in the programming exercises. you will not able to run exercises and finish this course. A waste of money!!

von Hasan A

1. März 2018

many ideas where not clear and more application use cases needed.

von Girish S

1. Dez. 2020

Can't even see the programming assignments without paying money.

von srinivas a

24. März 2020

Not practical, Assignments can drain your energy.