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h5

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The project focuses on detecting anomalies in images using autoencoder neural networks. An autoencoder learns to reconstruct normal images and can classify images as anomalies when the reconstruction error exceeds a certain threshold. The code in this repository implements an autoencoder-based anomaly detection method using TensorFlow.

  • Updated May 23, 2024
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提供iOS精选列表,包含Objective-C和Swift项目,涉及鸿蒙开发、Flutter、React Native、Weex、H5、小程序、区块链、数据库、游戏开发等教程(Provides a curated list of awesome iOS, including Objective-C and Swift Projects, covering tutorials on HarmonyOS development, Flutter, React Native, Weex, H5, mini programs, blockchain, databases, game development, and more.)。

  • Updated May 12, 2024

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