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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158
|
第
8
章
请注意，在撰写本书时，受支持的全套操作选择都是实验性的。你可以在 TensorFlow 网
站（
https://oreil.ly/Kn1Xj
）上找到详细信息。
用这个过程转换后，模型大小略有增加（增加到 2.9 MB，但仍然比原来的 8.9 MB 小很
多），但迭代速度急剧下降（大约每秒迭代一次）。然而，准确率提高到 98/100，更接近
原始模型。
如需更多技术并探索模型优化的结果，请查看
https://www.tensorfl ow.org/lite/performance/
model_optimization
。
亲自尝试一下，但请注意 Colab 环境可能会发生很大变化，你的结果可能与我不同，尤
其是在你使用不同模型时。我强烈建议你查看设备上的推理速度和准确性，以获得更合
适的结果。
8.6
总结
本章介绍了 TensorFlow Lite，以及它如何将使用 Python 训练的模型引入 Android 或 iOS
等移动设备。在探索有关如何编写 Android/Kotlin 或 iOS/Swift 应用程序来使用这些模型
的一些场景之前，你看到了工具链和转换器脚本，它们可让你缩小模型并针对移动设备
进行优化。除了简单的模型之外，你还开始看到作为应用程序开发人员在将数据从移动
环境的内部表示转换为 TensorFlow 模型中基于张量的数据时需要考虑的一些注意事项。
最后，你探索了一些用于进一步优化和缩小模型的场景。在第 9 章中，你将学习一些场
景来创建比“ Hello World ...
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I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.