Caffe学习系列(23)：如何将别人训练好的model用到自己的数据上-附件资源

sdram_model_plus 大小为256M 邓堪文老师sdram讲解中用到的代码,其他读、写、刷新、代码放在博客里 https://blog.csdn.net/qq_27841635/article/details/89059166

ffmpeg_lesson_code_model.7z

Object Detection API是谷歌开放的一个内部使用的物体识别系统。2016年10月，该系统在COCO识别挑战中名列第一。它支持当前最佳的实物检测模型，能够在单个图像中定位和识别多个对象。该文件是物体识别API中的ssd_mobilenet_v1_coco模型。SSD模型使用了轻量化的MobileNet，这意味着它们可以轻而易举地在移动设备中实时使用。

by Hou, Zhongsheng Jin, Shangtai Introduction ...........................................................................................1 1.1 Model-Based Control ........................................................................1 1.1.1 Modeling and Identification .................................................1 1.1.2 Model-Based Controller Design ...........................................3 1.2 Data-Driven Control .........................................................................5 1.2.1 Definition and Motivation of Data-Driven Control .............6 1.2.2 Object of Data-Driven Control Methods..............................7 1.2.3 Necessity of Data-Driven Control Theory and Methods ........................................................................8 1.2.4 Brief Survey on Data-Driven Control Methods..................10 1.2.5 Summary of Data-Driven Control Methods.......................15 1.3 Preview of the Book.........................................................................16 2 Recursive Parameter Estimation for Discrete-Time Systems................19 2.1 Introduction ....................................................................................19 2.2 Parameter Estimation Algorithm for Linearly Parameterized Systems.....................................................................20 2.2.1 Projection Algorithm..........................................................21 2.2.2 Least-Squares Algorithm ....................................................22 2.3 Parameter Estimation Algorithm for Nonlinearly Parameterized Systems.....................................................................27 2.3.1 Projection Algorithm and Its Modified Form for Nonlinearly Parameterized Systems...............................27vi  ◾  Contents 2.3.2 Least-Squares Algorithm and Its Modified Form for Nonlinearly Parameterized Systems...............................32 2.4 Conclusions.......................................................................

包含四种图像预测，一种对象检测

Adam指南

【FANUC】 OI-MODEL F操作手册

零膨胀负二项模型在汽车保险中的应用，江婷婷，黄薇，大部分汽车保险数据在实际情况下都具有风险非同质性和零膨胀现象，导致一般的传统索赔次数模型失去了原有的预测效果，不能很好的

使用ntcc时限模型检查器，您可以检查约束线性时间（CLTL）公式是否满足不确定时间并发约束（ntcc）流程。 尝试一下！