captain1986 / captainblackboard Goto Github PK
View Code? Open in Web Editor NEW船长关于机器学习、计算机视觉和工程技术的总结和分享
License: MIT License
captainblackboard's Issues
写NSFW
写C++11实用的新特性
写跟踪算法
KCF，NCC
写大目标检测
比如空洞卷积，增大感受野
写拉格朗日对偶问题和L1稀疏化
这是优化的常见问题
写超线程
写特征图尺寸和感受野计算详解
D#0004深度可分离卷积的代码分析
写CNN中内存和计算量分析
网络设计的四条指导规则
写Hinge Loss
合页损失函数和铰链损失函数
写最大熵模型
信息论，熵，奥卡姆剃刀，拉格朗日对偶证明最大熵是均匀分布等
写GridSearch
写频率学派和Bayes学派
写YOLO
D#0003优化做算法上的思考
比如PCA降维
D#0003浮点转定点
试试看浮点转定点，并误差分析
写小目标检测
SIMD和-O3分析
查看SIMD和-O3的汇编，看看是不是一样的
写RCNN系列
写ROP人脸检测
写kNN
写决策树到XGBoost
写Caffe的源代码分析
牛顿法、拟牛顿法
等优化方法
学习SSIM
RetinaFace
写RIP人脸检测
写比赛，kaggle或者天池
写模型优化、压缩、加速
写深度学习中的正则化方法
写SSD
写近年人脸检测STOA
对D#0008拉格朗日乘子法添加KKT条件
PCA，SVD
写高斯分布
目标检测中的框回归
感知机
写ShuffleNet
MTCNN,FasterRCNN,SSD,FaceBoxes
写泊松方程，泊松融合
写SSH,ESSH,SSHA
写注意力机制
CNN中使用卷积层替代全连接层训练
写各种损失函数的总结和对比
L1,L2,Smooth L1,Hinge Loss,Softmax loss(KL散度)；还有一些距离函数，相似度函数，距离的定义，余弦距离，皮尔逊相似度等等
D#0001需要补充模板函数的情况
模板函数没有写进头文件也会引起undefined reference to
写k均值算法
写anchor free的目标检测
写中心极限定理
写联合贝叶斯方法
写BN技术
写OCR，车牌检测和识别
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