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Bewertung und Feedback des Lernenden für Sequenzmodelle von deeplearning.ai

4.8
Sterne
27,670 Bewertungen
3,305 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....

Top-Bewertungen

AM

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.

WK

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!

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3201 - 3225 von 3,306 Bewertungen für Sequenzmodelle

von Iván G

13. März 2019

Not as good as structured in explanation nor in programming assigments as the last ones.

von mohsin j

7. Juni 2018

This is only good enough, not good course. All previous ones were 5 stars, definitely!

von jinwei z

1. Feb. 2022

the lab and programming is not as intuitive as the first two course in the specilism.

von Thomas P

9. Apr. 2020

Overall a great class. I had some trouble understanding the programming assignments.

von Archana A

7. Okt. 2019

This felt the the least prepared and organized course of the series, unfortunately.

von Sébastien C

18. Aug. 2020

Good theoretical overview - project just require you to fill in lines of code

von Samit H

18. Aug. 2020

I found this course boring and also too many assignments in a single week.

von Tushar B

12. Juni 2018

Issues with assignments. Took more than 4 hours to figure out the problem.

von Saeif A

3. Jan. 2020

This was the least clear course among the others. The others were great!

von Ragav S

18. Sep. 2019

Would like to learn a bit on how back-prop works when using attention.

von Gaetan J d B

17. Juni 2019

fairly more complex and deeper as previous courses. Nice ex. however.

von Yun W

6. Apr. 2019

I feel this course is not as carefully designed as previous courses

von mayukh m

16. Apr. 2020

Trigger word detection - v1.ipynb bug is annoying. Course is good.

von yuichi k

27. Juli 2020

ほぼ英語、プログラムの課題の問題を解決するのが非常に大変だった。bugも多いのでこなすのは苦労した。ビデオは相変わらず素晴らしい

von Prateek S

22. Apr. 2020

Good Course but lectures and assignments could have been better.

von bernd e

10. März 2018

Should be five weeks instead of three. Dive deeper into Details

von Rohan L

15. Nov. 2021

lecture videos were good but in assignments let us code more.

von Ar-Em J L

30. Okt. 2019

One of the weaker courses in the specialization. Felt rushed.

von Danilo G F R

5. Feb. 2018

Assigments too complicate without a necessary guide and help.

von Morgan H

15. Nov. 2020

Less clear instruction than other courses in specialization

von André T D S

1. Okt. 2018

Bugs in the programming assignments grading kills the flow

von Sri R

7. Dez. 2020

This course is not satisfactory than the previous courses

von Rajarshi K

30. Mai 2020

This course was comparatively boring than previous 4 ones

von Santosh B

19. Feb. 2019

I felt the last week had too many things packed together

von Shrishty C

6. Juli 2018

Was little hard to understand at times. But it was good.