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Bewertung und Feedback des Lernenden für Sequenzmodelle von deeplearning.ai

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28,110 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.

JY

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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2876 - 2900 von 3,369 Bewertungen für Sequenzmodelle

von Joachim A

21. Dez. 2018

I am grateful for this course, it literally is redefining my career and what I want to do. Thanks for the excellent course!

von AhAli A

11. Juli 2022

thank you so much for the material. pls do something with assignment of week4 to make it more constructive than confusive.

von Marijan S

9. Apr. 2020

Some excercizes were subpar, and some were not interesting, but all in all very good course in which one can learn so much

von Vamsi V

6. Okt. 2019

assignments were good if there is any direct interaction, taking input from the writer itself will be too much excitement.

von Shubhankar K

29. Juni 2021

A little much in not so much amount of time. Could have had more videos. Otherwise great course and great course material

von Himanshu A

28. Sep. 2018

Good introduction to RNNs, text/music generation, NLP etc.

Very comprehensible for intermediates and even beginners in ML.

von Qiang C

26. Feb. 2018

The low-level framework, such as torch, should be used in the assignment. keras is complicated to understand for newbie.

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.