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Sequence Models for Time Series and Natural Language Processing(으)로 돌아가기

Google 클라우드의 Sequence Models for Time Series and Natural Language Processing 학습자 리뷰 및 피드백

473개의 평가
66개의 리뷰

강좌 소개

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...

최상위 리뷰


2019년 8월 10일

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!


2021년 6월 7일

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.

필터링 기준:

Sequence Models for Time Series and Natural Language Processing의 66개 리뷰 중 51~66

교육 기관: Matthias D

2020년 6월 29일


교육 기관: Tiffany K

2020년 5월 30일

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.

교육 기관: David O

2020년 10월 8일

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

Quizzes are poorly constructed.

Frustrating experience!

교육 기관: Noah M

2020년 7월 6일

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

교육 기관: Soroush A

2019년 7월 30일

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

교육 기관: Farzad K

2021년 2월 26일

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

교육 기관: ssen-advanced

2019년 11월 6일

The chinese intonation and pronunciation was uncomfortable

교육 기관: Michael S S

2021년 3월 18일

Some the exercises were too easy to complete.

교육 기관: Rubens Z

2020년 6월 20일

I need more advanced Labs

교육 기관: Ali S

2020년 5월 11일

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

교육 기관: Mustafa H K

2020년 8월 26일

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

교육 기관: Vlad B

2021년 6월 6일

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

교육 기관: José C L A

2020년 6월 13일

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

교육 기관: Daniel P

2021년 2월 21일

Just one question per evaluation. Labs seems outdated

교육 기관: Seth r

2020년 6월 16일

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.

교육 기관: Vivienne Z

2021년 3월 23일

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