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移动端AI与ML应用开发:基于iOS和Android
book

移动端AI与ML应用开发:基于iOS和Android

by Laurence Moroney
January 2023
Intermediate to advanced
288 pages
6h 6m
Chinese
China Machine Press
Content preview from 移动端AI与ML应用开发:基于iOS和Android
移动应用程序的道德、公平和隐私
|
271
15-7
:公平性指标呈现的误报
语言可解释性工具包
如果你正在构建使用语言的模型,语言可解释性工具包(LIT)将帮助你了解模型表现不
佳的例子类型,或者驱动预测的信号,帮助你确定不需要的训练数据或挽救方法。如果
你更改了文本风格、动词时态或代词等内容,你还可以测试模型的一致性。有关如何设
置和使用它的详细信息,请访问
https://pair-code.github.io/lit/tutorials/tour
15.2 Google
的人工智能原则
TensorFlow 是由 Google 的工程师创建的,是该公司为其产品和内部系统构建的许多现
有项目的源头。开源后,发现了许多机器学习的新途径,ML AI 领域的创新步伐令人
咋舌。考虑到这一点,Google 决定发布一份公开声明(
https://oreil.ly/OAqyB
,概述其
关于如何创建和使用人工智能的原则。它们是负责任的和值得探索的重要指南。概括起
来,原则是:
对社会有益
人工智能的进步是变革性的,随着这种变化的发生,目标是要考虑所有社会和经济
因素,只有在整体可能的收益超过可预见的风险和不利影响的情况下才进行。
正文.indd 271正文.indd 271 2023-4-30 9:10:442023-4-30 9:10:44
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Publisher Resources

ISBN: 9787111713081