Chevron Left
返回到 Sequence Models for Time Series and Natural Language Processing

学生对 Google 云端平台 提供的 Sequence Models for Time Series and Natural Language Processing 的评价和反馈

4.5
225 个评分
27 个审阅

课程概述

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...

热门审阅

PR

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!

JW

Nov 11, 2018

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

筛选依据:

1 - Sequence Models for Time Series and Natural Language Processing 的 25 个评论(共 28 个)

创建者 vincent p

Feb 24, 2019

创建者 Yunwei H

Feb 20, 2019

创建者 Harold L M M

Nov 25, 2018

创建者 Temuge B

Apr 26, 2019

创建者 Maxim

Jul 05, 2019

创建者 Arindam G

Dec 20, 2018

创建者 Jun W

Nov 11, 2018

创建者 Jakub B

Jun 26, 2019

创建者 Elias P

Dec 04, 2018

创建者 Raja R G

Dec 11, 2018

创建者 ELINGUI P U

Jan 27, 2019

创建者 Mark D

Feb 03, 2019

创建者 Carlos V

Feb 03, 2019

创建者 Jason C

Oct 19, 2018

创建者 林佳佑

Nov 02, 2018

创建者 Nguyễn V L

Apr 14, 2019

创建者 Putcha L N R

Aug 11, 2019

创建者 Armando F

Jun 01, 2019

创建者 Ayman S

Aug 17, 2019

创建者 Wayne R

Oct 10, 2019

创建者 Печатнов Ю

Nov 22, 2018

创建者 Hemant D K

Dec 01, 2018

创建者 Marios N

Jun 10, 2019

创建者 Harsh S

Jul 23, 2019

创建者 borja v

Jul 22, 2019