base on Visual Studio@2022 使用C/C++实现了lenet5网络模型的前向传播
权重参数weights/bias由pytorch框架训练后使用netron进行提取，导出为.npy,再通过python脚本进行转换，最终保存为..._weights/bias.h ##输入图像获取 获取更多的输入图像可以通过python实现in_turn_to_tensor，获取Mnist数据集图像转换的张量数据，将生成的.txt文件后缀更改为.h即可在C程序中调用测试
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C语言实现的lenet5网络前向传播
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