A3C

模拟电子技术助学网上的大量学习资料，整理之后做的一本电子书便于离线学习(Analog Electronic Technology student a lot of online learning materials, after finishing an eBook easy to do offline learning)

说明：  Customize EditText instance with deletion function, which is often used in login, search and other places.

有特点的Flash产品图片图文导航，图片下边的文字都是菜单哦，鼠标滑向这些菜单，上边的图片就切换了，看上去有点像菜单，又像是焦点图，很有特点哦，可用于购物网站、电商平台做产品细节展示。

这是个重量级的东西，是罗宾写的操作系统，非常值得看看。还有一些文档。不知道最新版本是多少了。-heavyweight This is something that is written by Robin operating system is very worthwhile to see. Some documents. Do not know what is the latest version of the.

说明：  高超声速飞行器利用龙格库塔法解算微分方程(Solution of Differential Equations for Hypersonic Vehicles by Runge-Kutta Method)

编写程序对微机系统的串行口进行自发自收内环测试，从键盘键入发送数据，屏幕显示接收数据。这是用未来汇编程序编写的关于微型计算机的程序，是我上学时所写的一份实验报告。(The program is programmed to automatically test the serial port of the microcomputer system, input data from the keyboard, and receive data on the screen. This is a microcomputer program written in the future assembler. It is an experiment report written by me when I was at school.)

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：  液晶屏ST7796S-Sitronix显示驱动文件(Datasheet Sitronix reserves the right to change the contents in this document without prior notice, please contact Sitronix to obtain the latest version of datasheet before placing your order. No responsibility is)

说明：  串口重定向，调试要用到，非常重要。printf函数重定向。(Serial port redirection is very important for debugging. Pritf function redirection.)

ARM7 LPC2368 键盘检测：按一下KEY1，L1灯亮，按一下KEY2，L2灯亮，按一下KEY3，L3灯亮，按一下KEY3，L4灯亮.-ARM7 LPC2368 keyboard detection: Click the KEY1, L1 lights, click KEY2, L2 lights, click KEY3, L3 lights, click KEY3, L4 lights.