课程信息
198,749 次近期查看

第 4 门课程(共 4 门)

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。

中级

You should take the first 3 courses of the TensorFlow Specialization and be comfortable coding in Python and understanding high school-level math.

完成时间大约为8 小时

建议:4 weeks of study, 4-5 hours/week...

英语(English)

字幕:英语(English)

您将学到的内容有

  • Check

    Solve time series and forecasting problems in TensorFlow

  • Check

    Prepare data for time series learning using best practices

  • Check

    Explore how RNNs and ConvNets can be used for predictions

  • Check

    Build a sunspot prediction model using real-world data

您将获得的技能

ForecastingMachine LearningTensorflowTime Seriesprediction

第 4 门课程(共 4 门)

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。

中级

You should take the first 3 courses of the TensorFlow Specialization and be comfortable coding in Python and understanding high school-level math.

完成时间大约为8 小时

建议:4 weeks of study, 4-5 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 3 小时

Sequences and Prediction

10 个视频 (总计 33 分钟), 3 个阅读材料, 3 个测验
10 个视频
Time series examples4分钟
Machine learning applied to time series1分钟
Common patterns in time series5分钟
Introduction to time series4分钟
Train, validation and test sets3分钟
Metrics for evaluating performance2分钟
Moving average and differencing2分钟
Trailing versus centered windows1分钟
Forecasting4分钟
3 个阅读材料
Introduction to time series notebook10分钟
Forecasting notebook10分钟
Week 1 Wrap up10分钟
1 个练习
Week 1 Quiz
2
完成时间为 3 小时

Deep Neural Networks for Time Series

10 个视频 (总计 27 分钟), 5 个阅读材料, 3 个测验
10 个视频
Preparing features and labels4分钟
Preparing features and labels3分钟
Feeding windowed dataset into neural network2分钟
Single layer neural network2分钟
Machine learning on time windows37
Prediction2分钟
More on single layer neural network2分钟
Deep neural network training, tuning and prediction4分钟
Deep neural network3分钟
5 个阅读材料
Preparing features and labels notebook10分钟
Sequence bias10分钟
Single layer neural network notebook10分钟
Deep neural network notebook10分钟
Week 2 Wrap up10分钟
1 个练习
Week 2 Quiz
3
完成时间为 3 小时

Recurrent Neural Networks for Time Series

10 个视频 (总计 20 分钟), 5 个阅读材料, 3 个测验
10 个视频
Conceptual overview2分钟
Shape of the inputs to the RNN2分钟
Outputting a sequence1分钟
Lambda layers1分钟
Adjusting the learning rate dynamically2分钟
RNN1分钟
LSTM1分钟
Coding LSTMs2分钟
More on LSTM1分钟
5 个阅读材料
More info on Huber loss10分钟
RNN notebook10分钟
Link to the LSTM lesson10分钟
LSTM notebook10分钟
Week 3 Wrap up10分钟
1 个练习
Week 3 Quiz
4
完成时间为 3 小时

Real-world time series data

11 个视频 (总计 24 分钟), 5 个阅读材料, 3 个测验
11 个视频
Convolutions58
Bi-directional LSTMs3分钟
LSTM1分钟
Real data - sunspots3分钟
Train and tune the model3分钟
Prediction1分钟
Sunspots1分钟
Combining our tools for analysis3分钟
Congratulations!38
Specialization wrap up - A conversation with Andrew Ng2分钟
5 个阅读材料
Convolutional neural networks course10分钟
More on batch sizing10分钟
LSTM notebook10分钟
Sunspots notebook10分钟
Wrap up10分钟
1 个练习
Week 4 Quiz
4.6
136 条评论Chevron Right

来自Sequences, Time Series and Prediction的热门评论

创建者 ORAug 4th 2019

It was an amazing experience to learn from such great experts in the field and get a complete understanding of all the concepts involved and also get thorough understanding of the programming skills.

创建者 VVNov 26th 2019

Great course! The notebooks were a great help for understanding the material. I only wish there were auto-graded notebooks in addition to the quizzes like in some of the other courses by Andrew Ng.

讲师

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Laurence Moroney

AI Advocate
Google Brain

关于 deeplearning.ai

deeplearning.ai is Andrew Ng's new venture which amongst others, strives for providing comprehensive AI education beyond borders....

关于 TensorFlow in Practice 专项课程

Discover the tools software developers use to build scalable AI-powered algorithms in TensorFlow, a popular open-source machine learning framework. In this four-course Specialization, you’ll explore exciting opportunities for AI applications. Begin by developing an understanding of how to build and train neural networks. Improve a network’s performance using convolutions as you train it to identify real-world images. You’ll teach machines to understand, analyze, and respond to human speech with natural language processing systems. Learn to process text, represent sentences as vectors, and input data to a neural network. You’ll even train an AI to create original poetry! AI is already transforming industries across the world. After finishing this Specialization, you’ll be able to apply your new TensorFlow skills to a wide range of problems and projects. Courses 1-3 are available now, with Course 4 launching in July....
TensorFlow in Practice

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