Chevron Left
Zurück zu Sequenzmodelle

Bewertung und Feedback des Lernenden für Sequenzmodelle von deeplearning.ai

4.8
Sterne
27,835 Bewertungen
3,328 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.

Filtern nach:

2976 - 3000 von 3,329 Bewertungen für Sequenzmodelle

von David N

26. Apr. 2020

i'd like to have applications more suited to real world

von Vikas K

31. März 2019

it would have been better if he used more visualization

von Jarosław G

21. Jan. 2019

There were a lot of problems with notebook task grader.

von Nick J

11. März 2018

Great course, but too many mistakes in the assignments.

von kasun s K

19. Sep. 2021

t​hank you for this. this give good knowaledge for me

von Aloys N

22. Okt. 2019

Good content, it would have been good to do more keras

von Rakesh k k

22. Feb. 2021

Really Nice course to get basic understanding of NLP.

von 吴科炜

16. Feb. 2021

Trigger word detection: submit homework is so hard...

von Johannes J

27. Juni 2019

Great insights, helpful notebooks, good explanations.

von Karol K

26. Feb. 2018

Again, programming assignment should work flawlessly!

von Roberto G

5. Apr. 2020

un poco lentos los ejercicios y repetitivos comandos

von Saurabh P

17. Feb. 2018

Very good introduction to RNNs and their variations.

von Luke R

4. Mai 2022

Great professional-level instruction and exercises.

von Jetro G K

24. Juli 2018

Muy difícil en comparación con los demás anteriores

von Kamran K

11. Apr. 2021

I would prefer to be the student of Sir Andrew Ng.

von 阿刘

6. Aug. 2020

这节课主要还是以入门为主,没有讲太多理论知识,序列模型部分讲解跳跃性较大,需要结合更多资料去仔细研究

von Minh N

4. Jan. 2020

Too much details! Too little time. More exercises!

von Igor R

20. Apr. 2018

Excellent content, the auto-grader not so awesome.

von Andriyanto H

18. Apr. 2018

Very good course but can be too rushing sometimes.

von Omar H G

22. Juli 2021

Great course

The last 2 weeks are the hardest ones

von Syed S

1. Feb. 2020

A little too difficult to understand from scratch

von ANDREW ( G

20. Jan. 2020

A little bit less quality than the previous ones.

von Hemanth M

31. Juli 2019

More programming examples/exercises would be good

von tusheng w

18. Apr. 2018

useful to familiar with RNN, GRU, LSTM and so on.

von Chen S

12. Feb. 2018

Exercises are a bit tough and misunderstanding...