January 2023
Intermediate to advanced
288 pages
6h 6m
Chinese
Content preview from 移动端AI与ML应用开发：基于iOS和Android
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124
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第
7
章
构建建议回复列表。当运行该应用程序时，你会看到建议回复的列表，如图 7-8 所示。
图
7-8
：查看建议回复
在实际的应用程序中，你可以将这些设置为可选列表，当用户选择一个列表时，它会使
用建议文本来填充回复框，就像图 7-5 中所示的 Android 短信应用程序一样！
这只是智能回复功能的一个简单示例，希望这向你展示了将其整合到你的应用程序中是
多么容易！
7.4
总结
本章介绍了许多场景，你可以在这些场景中使用 ML Kit 内的完整模型在 iOS 应用程序
中获得 ML 功能。从实体检测开始，你可以快速轻松地从字符串中解析常见实体，例如
电子邮件或时间 / 日期。然后，你考虑使用数字墨迹在屏幕上捕获用户的笔画并将其解
析为文本
—
有效识别手写！最后，你深入研究了智能回复 API，这些 API 可帮助你通
过建议回复来加快对话速度。所有这些模型都在后端使用 TensorFlow Lite 运行（如果你
是“老鹰眼”，你可能已经在调试器中看到了这一点！），因此在第 8 章中，我们将换个
角度概述这项技术如何将 ML 带入移动设备中。
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