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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使用
Firebase
产品化应用程序
|
231
用户活动以查看哪些用户退出了你的应用程序，并跟踪这是否是模型的结果。除了分析
之外，你还可以运行 A/B 测试、使用基于行为的预测等！
虽然每个应用程序的需求都不同，但希望这会给你一些启发，让你了解在使用 Firebase
时发展 ML 应用程序的可能性。对于使用分析、预测和远程配置等功能来发展的应用程
序的一些灵感，请查看
https://firebase.google.cn/use-cases
。
12.4
总结
在本章中，你看到了如何将 Firebase 模型托管与 TensorFlow Lite 模型结合使用，然后探
索了如何使用 Firebase 基础设施的其余部分，从远程配置开始。例如，使用这种技术组
合，你将能够管理不同受众的多个模型版本或类型，并探索将模型递交到用户手中的最
佳方式。我们只是触及了表面，我鼓励你探索其他的选项！虽然我们刚刚在 Android 中
探索了 Firebase，但这些 API 也同样适用于 iOS 和互联网。
说到 iOS，如果不了解 iOS 特定的技术 Core ML 和 Create ML，任何关于设备上机器学
习的书都是不完整的，因此你将在第 13 章中探索它们！
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