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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
34
|
2
实际
叶锈病
预测
叶锈病 实际
角叶斑病
预测
角叶斑病
2-13
:具有迁移学习的复杂图像
2.3
总结
在本章中,你认识了计算机视觉并了解了它的真正含义
编写代码来帮助计算机解析
图像内容。在从头构建一个可以识别 10 种时尚类别的神经网络之前,你学习了如何构
建神经网络以识别多个类别。之后,你了解了迁移学习的概念,你可以在其中使用已在
数百万张图像上进行预训练的现有模型来识别许多类别,并使用它们的内部变量将它们
应用到你的场景中。从中,你看到了如何从 TensorFlow Hub 下载模型并重新使用,以很
少的代码行获得非常复杂的模型。例如,你看到了一个用于植物豆类疾病的分类器,该
分类器是使用仅定义两层的模型编写的!这会形成你将在本书中主要使用的方法论,因
为从这里开始,重点将是在移动应用程序中使用模型。我们将在第 3 章开始这段旅程,
介绍 ML Kit,这是一个框架,可帮助你快速构建原型或跨 Android iOS 使用的交钥匙
ML 工程。
正文.indd 34正文.indd 34 2023-4-30 9:07:482023-4-30 9:07:48
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Publisher Resources

ISBN: 9787111713081