lab3

咨询图形样板库ppt,里边有多个编写交流文档图形实例，非常实用。-Library Advisory graphics model ppt, inside has a number of documents prepared by the exchange of graphic examples, very useful.

C语言程序实例教程 -examples C Programming Language Guide

说明：  vs2015编程，图书馆管理系统，界面登录，借书系统。连接了数据库（SQL SERVER2014)。还书系统，超期罚款等等(Vs2015 programming, library management system, interface login, library system. Connected to the (SQL SERVER2014). Book system, overdue fine and so on)

说明：  边缘计算的中英文相关综述文献，可以参考一下(Edge computing: A survey, current situation and outlook)

说明：  fuzzy logic controller

数控自动编程系统，可以通过所画的图形生成走刀路线，然后生成代码-CNC automatic programming system can be generated by the graphics drawing tool line, and then generate code

基于遗传算法优化初始神经网络参数的BP神经网络模型，用于解决分类问题(Neural Network Model Based on Genetic Algorithms)

windows下编程的入门资料，一份给初学者很不错的资料-windows under introductory information on the program, a very good beginners to the information

说明：  CN对图像进行像素级的分类，从而解决了语义级别的图像分割（semantic segmentation）问题。与经典的CNN在卷积层之后使用全连接层得到固定长度的特征向量进行分类（全联接层＋softmax输出）不同，FCN可以接受任意尺寸的输入图像，采用反卷积层对最后一个卷积层的feature map进行上采样, 使它恢复到输入图像相同的尺寸，从而可以对每个像素都产生了一个预测, 同时保留了原始输入图像中的空间信息, 最后在上采样的特征图上进行逐像素分类。(CN classifies images at the pixel level, thus resolving the problem of semantic segmentation at the semantic level. Unlike classical CNN, which uses full-connection layer to get fixed-length feature vectors after convolution layer for classification (full-connection layer + soft Max output), FCN can accept any size of input image, and uses deconvolution layer to sample feature map of the last convolution layer to restore it to the same size of input image, so that each pixel can be generated. At the same time, the spatial information of the original input image is retained. Finally, the pixel-by-pixel classification is carried out on the feature map sampled above.)

说明：  AD19的常用元件库，包含封装库以及3D模型(Common component library for AD19, including package library and 3D model)