Presented by O'Reilly and Cloudera
Make Data Work
July 12-13, 2017: Training
July 13-15, 2017: Tutorials & Conference
Beijing, China

用TensorFlow进行深度学习 (Deep learning with TensorFlow)

This will be presented in English.

Yufeng Guo (Google)
09:00–12:30 Thursday, 2017-07-13
AI应用 (AI applications), 英文讲话 (Presented in English)
Location: 多功能厅3(Function Room 3) 观众水平 (Level): Beginner

必要预备知识 (Prerequisite Knowledge)

Familiarity with Python and machine learning basic concepts (useful but not required)

需要提前准备的资料和下载 (Materials or downloads needed in advance)

A laptop with TensorFlow installed

您将学到什么 (What you'll learn)

Explore TensorFlow and learn how to build, train, and use deep learning models

描述 (Description)



最后,我们会讨论一下如何在生产系统上使用TensorFlow Serving来部署模型。TensorFlow Serving是一个高性能的开源服务系统,专门设计来运行通过机器学习得到的模型。

TensorFlow is a popular open source machine learning library that is especially well-suited for deep learning. Yufeng Guo introduces machine learning and deep learning with concrete examples, walking you through hands-on exercises using TensorFlow and TensorBoard.

Yufeng begins with the basics of TensorFlow, from matrix multiplication to simple linear classifiers, and then demonstrates how to build deep neural networks using high-level APIs like layers and estimators. You’ll also learn about data preparation techniques and explore the latest in open source research models. Yufeng concludes by explaining how to deploy a model in production using TensorFlow Serving, a high-performance open source system designed for serving machine-learned models.

Photo of Yufeng Guo

Yufeng Guo


Yufeng Guo is a developer advocate for the Google Cloud Platform, where he is trying to make machine learning more understandable and usable for all. He enjoys hearing about new and interesting applications of machine learning, so be sure to share your use case with him on Twitter.

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