Chevron Left
Zurück zu Sequence Models for Time Series and Natural Language Processing

Bewertung und Feedback des Lernenden für Sequence Models for Time Series and Natural Language Processing von Google Cloud

471 Bewertungen
66 Bewertungen

Über den Kurs

This course is an introduction to sequence models and their applications, including an overview of sequence model architectures and how to handle inputs of variable length. • Predict future values of a time-series • Classify free form text • Address time-series and text problems with recurrent neural networks • Choose between RNNs/LSTMs and simpler models • Train and reuse word embeddings in text problems You will get hands-on practice building and optimizing your own text classification and sequence models on a variety of public datasets in the labs we’ll work on together. Prerequisites: Basic SQL, familiarity with Python and TensorFlow...


10. Aug. 2019

Great way to practically learn a lot of stuff. Sometimes, a lot of it starts to go over head. But, it is completely worth the learning curve! Definitely recommend it!

7. Juni 2021

The lack of synchronization between the videos and labs is extreme in this course, but the lectures are excellent and the subject area covered is very broad.

Filtern nach:

51 - 66 von 66 Bewertungen für Sequence Models for Time Series and Natural Language Processing

von Matthias D

29. Juni 2020


von Tiffany K

30. Mai 2020

Not the best course. I think there are much better courses on Time series modeling here on coursera. The platform for the labs is also cumbersome.

von David O

8. Okt. 2020

Labs didn't work as expected. Too may errors due to incompatible tensorflow versions.

Quizzes are poorly constructed.

Frustrating experience!

von Noah M

6. Juli 2020

Practice material (notebooks) didn't match the video lectures, but the course itself was good

von Soroush A

30. Juli 2019

lecturer talks too fast and not easy to understand. This topic was one of my favorites.

von Farzad K

26. Feb. 2021

The files in the labs are not the same as the ones explained in the solutions.

von ssen-advanced

6. Nov. 2019

The chinese intonation and pronunciation was uncomfortable

von Michael S S

18. März 2021

Some the exercises were too easy to complete.

von Rubens Z

20. Juni 2020

I need more advanced Labs

von Ali S

11. Mai 2020

The content was very general and the code specifics were not reviewed. It was like primarily Google Cloud advertising.

von Mustafa H K

26. Aug. 2020

Labs and quizes are poor and mere formality. You can pass this course without actually learning a single thing.

von Vlad B

6. Juni 2021

A lot of the labs were repetitive and had no / little connection to the lectures

von José C L A

13. Juni 2020

Excpected more. Also Katherine Zhao sloooow voice makes it tedious and boring

von Daniel P

21. Feb. 2021

Just one question per evaluation. Labs seems outdated

von Seth r

16. Juni 2020

This is one of the poorly taught course. Week 2 is very difficult to follow the accent of the instructor. Also the notebook did not have the right package for the poetry problem and the instructor used different environment. The final Diaglogflow problem the concepts are not explained well. The course may be revised so that the important aspect of Tensor2Tensor is expressed properly.

von Vivienne Z

23. März 2021

I wanted to unenroll but I can't for some reason.