├─第1章-课程介绍
│&nBSp; &nBSp;&nBSp; &nBSp;1-1课程介绍.mp4
│&nBSp; &nBSp;&nBSp; &nBSp;1-2代码与项目介绍.mp4
│&nBSp; &nBSp;&nBSp; &nBSp;
├─第2章-预备知识整装待发
│&nBSp; &nBSp;&nBSp; &nBSp;2-1图像卷积.mp4
│&nBSp; &nBSp;&nBSp; &nBSp;2-2卷积和步长的巧妙配合.mp4
│&nBSp; &nBSp;&nBSp; &nBSp;2-3人工卷积核产生的效果.mp4
│&nBSp; &nBSp;&nBSp; &nBSp;2-4Yolov4里的卷积例子.mp4
│&nBSp; &nBSp;&nBSp; &nBSp;2-5最大池化操作.mp4
│&nBSp; &nBSp;&nBSp; &nBSp;2-6全连接层讲解.mp4
│&nBSp; &nBSp;&nBSp; &nBSp;2-7卷积神经网络VGG16_01.mp4
│&nBSp; &nBSp;&nBSp; &nBSp;2-8卷积神经网络VGG16_02.mp4
│&nBSp; &nBSp;&nBSp; &nBSp;2-91X1卷积核的用处01.mp4
│&nBSp; &nBSp;&nBSp; &nBSp;2-101X1卷积核的用处02.mp4
│&nBSp; &nBSp;&nBSp; &nBSp;2-111X1卷积核的用处03.mp4
│&nBSp; &nBSp;&nBSp; &nBSp;2-121X1卷积核的用处04（yolo中的1X1预测思想）.mp4
│&nBSp; &nBSp;&nBSp; &nBSp;2-13YOLOV4里的one-hot编码.mp4
│&nBSp; &nBSp;&nBSp; &nBSp;2-14softmax原理和计算.mp4
│&nBSp; &nBSp;&nBSp; &nBSp;2-15sigmod和代替softmax.mp4
│&nBSp; &nBSp;&nBSp; &nBSp;2-16BN操作01.mp4
│&nBSp; &nBSp;&nBSp; &nBSp;2-17BN操作02.mp4
│&nBSp; &nBSp;&nBSp; &nBSp;2-18激活函数原理和作用.mp4
│&nBSp; &nBSp;&nBSp; &nBSp;
├─第3章-YOLOV4网络结构和代码实现
│&nBSp; &nBSp;&nBSp; &nBSp;3-1YOLOV3网络结构回顾01.mp4
│&nBSp; &nBSp;&nBSp; &nBSp;3-2YOLOV3网络结构回顾02.mp4
│&nBSp; &nBSp;&nBSp; &nBSp;3-3YOLOV3网络结构回顾03.mp4
│&nBSp; &nBSp;&nBSp; &nBSp;3-4强大的模型可视化工具netron.mp4
│&nBSp; &nBSp;&nBSp; &nBSp;3-5YOLOV4网络结构backbone.mp4
│&nBSp; &nBSp;&nBSp; &nBSp;3-6YOLOV4网络结构Neck.mp4
│&nBSp; &nBSp;&nBSp; &nBSp;3-7YOLO网格思想.mp4
│&nBSp; &nBSp;&nBSp; &nBSp;3-8先验框anchors原理.mp4
│&nBSp; &nBSp;&nBSp; &nBSp;3-9头部DECODE.mp4
│&nBSp; &nBSp;&nBSp; &nBSp;3-10YOLO头部总结.mp4
│&nBSp; &nBSp;&nBSp; &nBSp;3-11从零写代码backbone构建01.mp4
│&nBSp; &nBSp;&nBSp; &nBSp;3-12从零写代码backbone构建02.mp4
│&nBSp; &nBSp;&nBSp; &nBSp;3-13从零写代码Neck构建01.mp4
│&nBSp; &nBSp;&nBSp; &nBSp;3-14从零写代码Neck构建02.mp4
│&nBSp; &nBSp;&nBSp; &nBSp;3-15从零写代码头部Decode01.mp4
│&nBSp; &nBSp;&nBSp; &nBSp;3-16从零写代码头部Decode02.mp4
│&nBSp; &nBSp;&nBSp; &nBSp;3-17代码解读模型推断部分.mp4
│&nBSp; &nBSp;&nBSp; &nBSp;3-18代码解读使用yolo.cfg解析方式构造网络01.mp4
│&nBSp; &nBSp;&nBSp; &nBSp;3-19代码解读使用yolo.cfg解析方式构造网络02.mp4
│&nBSp; &nBSp;&nBSp; &nBSp;
├─第4章-模型训练和代码实现
│&nBSp; &nBSp;&nBSp; &nBSp;4-1模型训练超参部分讲解.mp4
│&nBSp; &nBSp;&nBSp; &nBSp;4-2训练整体流程.mp4
│&nBSp; &nBSp;&nBSp; &nBSp;4-3模型训练build_target原理解析01.mp4
│&nBSp; &nBSp;&nBSp; &nBSp;4-4模型训练build_target原理解析02.mp4
│&nBSp; &nBSp;&nBSp; &nBSp;4-5模型训练build_target原理解析03.mp4
│&nBSp; &nBSp;&nBSp; &nBSp;4-6损失函数原理解析01.mp4
│&nBSp; &nBSp;&nBSp; &nBSp;4-7损失函数原理解析02.mp4
│&nBSp; &nBSp;&nBSp; &nBSp;4-8从零写代码build_target训练核心函数01.mp4
│&nBSp; &nBSp;&nBSp; &nBSp;4-9从零写代码build_target训练核心函数02.mp4
│&nBSp; &nBSp;&nBSp; &nBSp;4-10从零写代码build_target训练核心函数03.mp4
│&nBSp; &nBSp;&nBSp; &nBSp;4-11从零写代码训练部分基础函数.mp4
│&nBSp; &nBSp;&nBSp; &nBSp;4-12从零写代码CIOU计算.mp4
│&nBSp; &nBSp;&nBSp; &nBSp;4-13从零写代码损失函数计算.mp4
│&nBSp; &nBSp;&nBSp; &nBSp;4-14代码解读基于PyTorch的模型训练01.mp4
│&nBSp; &nBSp;&nBSp; &nBSp;4-15代码解读基于PyTorch的模型训练02.mp4
│&nBSp; &nBSp;&nBSp; &nBSp;4-16代码解读基于PyTorch的模型训练03.mp4
│&nBSp; &nBSp;&nBSp; &nBSp;
├─第5章-YOLOV4车辆行人检测实战
│&nBSp; &nBSp;&nBSp; &nBSp;5-1项目实战总体介绍.mp4
│&nBSp; &nBSp;&nBSp; &nBSp;5-2权重裁剪技巧（模型训练必备知识）.mp4
│&nBSp; &nBSp;&nBSp; &nBSp;5-3代码实战pytorch权重裁剪01.mp4
│&nBSp; &nBSp;&nBSp; &nBSp;5-4代码实战pytorch权重裁剪02.mp4
│&nBSp; &nBSp;&nBSp; &nBSp;5-5代码实战训练数据集制作.mp4
│&nBSp; &nBSp;&nBSp; &nBSp;5-6tensorboardX训练可视化工具使用.mp4
│&nBSp; &nBSp;&nBSp; &nBSp;5-7map和准确召回率计算工具使用.mp4
│&nBSp; &nBSp;&nBSp; &nBSp;5-8项目效果展示.mp4
│&nBSp; &nBSp;&nBSp; &nBSp;5-9YOLOV4调参总结.mp4
│&nBSp; &nBSp;&nBSp; &nBSp;
└─课程资料
&nBSp; &nBSp;&nBSp; &nBSp;&nBSp;&nBSp;PPT和手工图.zIP
&nBSp; &nBSp;&nBSp; &nBSp;&nBSp;&nBSp;yolov4代码和数据集.zIP

*声明：课程资源购自网络，版权归原作者所有，仅供参考学习使用，严禁外传及商用，若侵犯到您的权益请联系客服删除。