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## 章节安排
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本教程分多个章节:
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- - 第一章:开发环境搭建
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- - 第二章:张量的常规操作
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- - 第三章:简单模型搭建
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- - 第四章:数据加载模块使用
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- - 第五章:分类模型搭建,训练和预测
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+ - 第一章:[ libtorch+Visual Studio ] ( https://allentdan.github.io/2020/12/16/pytorch%E9%83%A8%E7%BD%B2torchscript%E7%AF%87 ) 和 [ libtorch+QT ] ( https://allentdan.github.io/2021/01/21/QT%20Creator%20+%20Opencv4.x%20+%20Libtorch1.7%E9%85%8D%E7%BD%AE/#more ) 开发环境搭建
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+ - 第二章:[ 张量的常规操作] ( https://allentdan.github.io/2021/01/16/libtorch%E6%95%99%E7%A8%8B%EF%BC%88%E4%BA%8C%EF%BC%89/ )
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+ - 第三章:[ 简单MLP,CNN,LSTM模型搭建 ] ( https://allentdan.github.io/2021/01/16/libtorch%E6%95%99%E7%A8%8B%EF%BC%88%E4%B8%89%EF%BC%89/ )
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+ - 第四章:[ 数据加载模块使用] ( https://allentdan.github.io/2021/01/18/libtorch%E6%95%99%E7%A8%8B%EF%BC%88%E5%9B%9B%EF%BC%89/ )
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+ - 第五章:[ 分类模型搭建,训练和预测] ( https://allentdan.github.io/2021/01/18/libtorch%E6%95%99%E7%A8%8B%EF%BC%88%E4%BA%94%EF%BC%89/ )
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- 第六章:[ 分割模型搭建,训练和预测] ( https://github.com/AllentDan/SegmentationCpp )
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- 第七章:目标检测模型搭建,训练和预测
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- 第八章:总结
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