课程信息
19,894 次近期查看

100% 在线

立即开始,按照自己的计划学习。

可灵活调整截止日期

根据您的日程表重置截止日期。

高级

完成时间大约为12 小时

建议:17 hours/week...

英语(English)

字幕:英语(English)

100% 在线

立即开始,按照自己的计划学习。

可灵活调整截止日期

根据您的日程表重置截止日期。

高级

完成时间大约为12 小时

建议:17 hours/week...

英语(English)

字幕:英语(English)

教学大纲 - 您将从这门课程中学到什么

1
完成时间为 4 小时

Working with Sequences

14 个视频 (总计 41 分钟), 1 个阅读材料, 4 个测验
14 个视频
Getting Started with Google Cloud Platform and Qwiklabs3分钟
Sequence data and models5分钟
From sequences to inputs2分钟
Modeling sequences with linear models2分钟
Lab intro: using linear models for sequences20
Lab solution: using linear models for sequences7分钟
Modeling sequences with DNNs2分钟
Lab intro: using DNNs for sequences19
Lab solution: using DNNs for sequences2分钟
Modeling sequences with CNNs3分钟
Lab intro: using CNNs for sequences19
Lab solution: using CNNs for sequences3分钟
The variable-length problem4分钟
1 个阅读材料
How to send course feedback10分钟
1 个练习
Working with Sequences
完成时间为 15 分钟

Recurrent Neural Networks

4 个视频 (总计 15 分钟), 1 个测验
4 个视频
How RNNs represent the past4分钟
The limits of what RNNs can represent5分钟
The vanishing gradient problem1分钟
1 个练习
Recurrent Neural Networks
完成时间为 4 小时

Dealing with Longer Sequences

14 个视频 (总计 62 分钟), 4 个测验
14 个视频
LSTMs and GRUs6分钟
RNNs in TensorFlow2分钟
Lab Intro: Time series prediction: end-to-end (rnn)45
Lab Solution: Time series prediction: end-to-end (rnn)10分钟
Deep RNNs1分钟
Lab Intro: Time series prediction: end-to-end (rnn2)26
Lab Solution: Time series prediction: end-to-end (rnn2)6分钟
Improving our Loss Function2分钟
Demo: Time series prediction: end-to-end (rnnN)3分钟
Working with Real Data10分钟
Lab Intro: Time Series Prediction - Temperature from Weather Data1分钟
Lab Solution: Time Series Prediction - Temperature from Weather Data11分钟
Summary1分钟
1 个练习
Dealing with Longer Sequences
2
完成时间为 2 小时

Text Classification

8 个视频 (总计 35 分钟), 2 个测验
8 个视频
Text Classification6分钟
Selecting a Model2分钟
Lab Intro: Text Classification47
Lab Solution: Text Classification11分钟
Python vs Native TensorFlow4分钟
Demo: Text Classification with Native TensorFlow7分钟
Summary1分钟
1 个练习
Text Classification
完成时间为 1 小时

Reusable Embeddings

6 个视频 (总计 28 分钟), 2 个测验
6 个视频
Modern methods of making word embeddings8分钟
Introducing TensorFlow Hub1分钟
Lab Intro: Evaluating a pre-trained embedding from TensorFlow Hub24
Lab Solution: TensorFlow Hub9分钟
Using TensorFlow Hub within an estimator1分钟
1 个练习
Reusable Embeddings
完成时间为 3 小时

Encoder-Decoder Models

10 个视频 (总计 84 分钟), 3 个测验
10 个视频
Attention Networks4分钟
Training Encoder-Decoder Models with TensorFlow6分钟
Introducing Tensor2Tensor11分钟
Lab Intro: Cloud poetry: Training custom text models on Cloud AI Platform1分钟
Lab Solution: Cloud poetry: Training custom text models on Cloud AI Platform25分钟
AutoML Translation4分钟
Dialogflow6分钟
Lab Intro: Introducing Dialogflow54
Lab Solution: Dialogflow13分钟
1 个练习
Encoder-Decoder Models
完成时间为 14 分钟

Summary

1 个视频 (总计 4 分钟), 1 个阅读材料
1 个视频
Summary3分钟
1 个阅读材料
Additional Reading10分钟
4.4
25 个审阅Chevron Right

50%

完成这些课程后已开始新的职业生涯

50%

通过此课程获得实实在在的工作福利

来自Sequence Models for Time Series and Natural Language Processing的热门评论

创建者 PRAug 11th 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!

创建者 JWNov 11th 2018

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

关于 Google 云端平台

We help millions of organizations empower their employees, serve their customers, and build what’s next for their businesses with innovative technology created in—and for—the cloud. Our products are engineered for security, reliability, and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping customers apply our technologies to create success....

关于 Advanced Machine Learning with TensorFlow on Google Cloud Platform 专项课程

This 5-course specialization focuses on advanced machine learning topics using Google Cloud Platform where you will get hands-on experience optimizing, deploying, and scaling production ML models of various types in hands-on labs. This specialization picks up where “Machine Learning on GCP” left off and teaches you how to build scalable, accurate, and production-ready models for structured data, image data, time-series, and natural language text. It ends with a course on building recommendation systems. Topics introduced in earlier courses are referenced in later courses, so it is recommended that you take the courses in exactly this order....
Advanced Machine Learning with TensorFlow on Google Cloud Platform

常见问题

  • 是的,您可以在注册之前预览第一个视频和查看授课大纲。您必须购买课程,才能访问预览不包括的内容。

  • 如果您决定在班次开始日期之前注册课程,那么您将可以访问课程的所有课程视频和阅读材料。班次开始之后,您便可以提交作业。

  • 在您注册且班次开课之后,您将可以访问所有视频和其他资源,包括阅读材料内容和课程论坛。您将能够查看和提交练习作业,并完成所需的评分作业以获得成绩和课程证书。

  • 如果您成功完成课程,您的电子课程证书将添加到您的成就页中,您可以通过该页打印您的课程证书或将其添加到您的领英档案中。

  • 该课程是 Coursera 上提供的为数不多的课程之一,目前只对已购买课程或已获得助学金的学生开放。

还有其他问题吗?请访问 学生帮助中心