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在TensorFlow中构建和部署模型

此演讲使用中文 (This will be presented in Chinese)

Sherry Moore (Google)
14:0014:40 Friday, April 13, 2018
模型与方法 (Models and Methods)
Location: 多功能厅3A+B (Function Room 3A+B)
Secondary topics:  深度学习(Deep Learning)

TensorFlow可以让你进行高速运算,很多时候是在机器学习的情景下。 Sherry Moore将会介绍TensorFlow的最新进展,包括TensorFlow立刻执行机制和TensorFlow Lite。她还会分享一些最佳实践,并将演示机器学习的一些有用的应用。

Sherry将从探索TensorFlow的高级API开始。 Keras很有名,它在tf.layer的API中。它们可以被绑定到估计器,用来在多个CPU和GPU上进行训练。之后,通过演示立刻执行的代码样例,Sherry会介绍TensorFlow的立刻执行机制,这是TensorFlow的一种命令式风格。 Sherry还会解释如何将你立刻执行机制的代码转换成可以使用分布式TensorFlow用估计器训练的计算图。




Google最近发布了TensorFlow Lite,这使得在移动设备上部署TensorFlow变得更容易。 Sherry将会概述TensorFlow Lite架构的基本知识:它是如何工作的,想使用它需要知道什么,以及可以使用它构建的一个应用示例。她最后谈到使用所有这些TensorFlow组件可以做的一些有趣的事情。

Photo of Sherry Moore

Sherry Moore

Google

Sherry Moore is a software engineer on the Google Brain team. Her other projects at Google include Google Fiber and Google Ads Extractor. Previously, she spent 14 years as a systems and kernel engineer at Sun Microsystems.

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