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Bewertung und Feedback des Lernenden für Sequenzmodelle von deeplearning.ai

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29,146 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

WK

13. März 2018

I was really happy because I could learn deep learning from Andrew Ng.

The lectures were fantastic and amazing.

I was able to catch really important concepts of sequence models.

Thanks a lot!

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.

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3001 - 3025 von 3,502 Bewertungen für Sequenzmodelle

von Anxo T A

22. Nov. 2020

Great course, specially the programming assignments, they help much mor than the videos to undertand the core concepts.

von Holman B

15. März 2019

Had some issues related with the jupyter notebook. Sometimes I had to restart the kernel to get the keras model working

von Anand S

7. Mai 2020

I think a totally different course for NLP & CNN neeeds to be rolled out including their implementation in tensorflow.

von Marcin K

30. Sep. 2019

Last notebook causing server problems. Large amount of material (theory) covered by compressed programming excercises.

von Naveen K m

7. Juli 2019

Great course content and well explained by Andrew, looking forward to apply the learning to solve real world problems.

von Agustín D

10. Apr. 2018

Some items on the assignments were confusing or misleading. But the content of the course was rich and well explained.

von Paulo S

8. März 2018

Excellent course. It would be better, however, if I could easily download the course slides and notes for quick recap.

von Jérémy M

6. Juni 2020

Really nice course but some programmation exercises isn't well built. (Compared to the other courses of this section)

von Niranjan K

28. Apr. 2020

Week 3 last assignment must be improved.I faced a lot of problems related to submission.All other aspects are amazing

von Li P Z

2. Jan. 2020

Excellent as usual, but not quite up to the usual standards, I felt some of the lectures and exercises were rushed...

von vincent p

16. Okt. 2019

Cool exercises and good explanation, just too much focus on text mining and too little on actual RNN's if you ask me.

von Václav R

5. Aug. 2019

Nice intro in recurrent neural networks.

I'd prefer more focus on why the architectures are designed the way they are.

von Scott R

16. März 2018

I would have liked to have had an assignment covering beam search but overall it was excellent introduction to RNNs.

von Lin Y

14. März 2018

overall it's great, but I think this course is a little bit high level on RNNs, I expected more content on GRU/LSTM.

von Andrey S

20. Feb. 2018

Great course but it took them forever to finally open it.

The course also has issues with submitting last assignment.

von Nikhlesh P

17. Aug. 2020

Text Processing exercises should be added. Most of the examples are from image and speech. Overall good experience.

von Sachin k

8. Juli 2019

Great Course. But could improve on explanation part. And could teach more about architectures such as LSTM and GRU.

von Tianpei X

13. Feb. 2018

Great course ! However, there are several errors in the project assignments and it has been delayed for two months.

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 Yufeng S

29. Okt. 2022

Everything is good, except the last week's material needs more explanation to avoid confusion and frustration.

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!