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fix(docs): fix typo error in tensorflow_lite.md (#3007)
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Signed-off-by: 思无邪 <[email protected]>
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578223592 authored Jul 15, 2024
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模型的工具,它使得设备上的机器学习预测具有低延迟和较小的二进制容量。

通过集成 eKuiper 和 TensorFlow Lite,用户只需要上传预先构建的 TensorFlow 模型, 即可在规则中使用该模型来分析流中的数据。 在本教程中,我们将演示如何通过 ekuiper 快速调用已预先训练好的 TensorFlow 模型。
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## 先决条件

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