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深度学习框架darknet【五】——训练解析 | LOUIS' BLOG #48

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isLouisHsu opened this issue Dec 8, 2019 · 0 comments
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@isLouisHsu
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https://louishsu.xyz/2019/12/08/%E6%B7%B1%E5%BA%A6%E5%AD%A6%E4%B9%A0%E6%A1%86%E6%9E%B6darknet%E3%80%90%E4%BA%94%E3%80%91%E2%80%94%E2%80%94%E8%AE%AD%E7%BB%83%E8%A7%A3%E6%9E%90/

前言前一节介绍了如何调用函数进行网络的训练,本节扒一扒源码,详细介绍前向、反向、更新部分。查看本节内容要有BP算法的基础,以全连接网络为例,详细查看全连接网络BP算法推导【矩阵形式】。 Dataflow运算过程中最重要的是数据的传递,在整个过程中,向系统申请的内存资源(部分)列表如下| 内存地址指针 | 类型 | 功能 || :———————— | :—- | :—- || dat

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