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學生對 Google 云端平台 提供的 Sequence Models for Time Series and Natural Language Processing 的評價和反饋

348 個評分
39 條評論


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...



Aug 11, 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!


Nov 11, 2018

Excellent course for those who know RNN. Knowledge is refreshed and techniques are consolidated. More details about Google ecosystem is introduced.


26 - Sequence Models for Time Series and Natural Language Processing 的 39 個評論(共 39 個)

創建者 Raja R G

Dec 11, 2018


創建者 Silviu M

Aug 28, 2019

The content is amazing and some of the implementations are really awesome! I am not a programmer but this course opened me the eyes to see how many business opportunities are there to use data for AI, in new products and services

創建者 Harsh S

Jul 23, 2019

Though not focused on fundamental concepts, it's a great course to learn to use tensorflow and google cloud platform for sequence modelling.

創建者 Marios N

Jun 10, 2019

Very helpful but needs more in depth detail how attention works, how encoder/decoder trains and makes predictions

創建者 Bablesh S

Oct 18, 2019

Good Course with enough practical exercises to get some hands on experience.

創建者 Печатнов Ю

Nov 22, 2018

First quiz is very bad

But totally the course is interesting and I like it :)

創建者 Deepika

Jan 21, 2020

Felt somewhat advanced learning, which made tough to complete intime

創建者 Hemant D K

Dec 01, 2018

Very informative, very much useful to my ongoing work on NLP.

創建者 Kumar U

May 18, 2020

Code explanation can be more elaborate

創建者 borja v

Jul 22, 2019

Complex but interesting

創建者 Soroush A

Jul 30, 2019

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

創建者 ssen-advanced

Nov 06, 2019

The chinese intonation and pronunciation was uncomfortable

創建者 Ali S

May 11, 2020

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

創建者 Prajwol L

May 11, 2020

Why dont you make a easy lab works ? I mean the procedure is too much. As simple like Andrew Ng's course would be great.