VC++蝴蝶时钟_源代码，供大家一起参考学习。

今天写程序要跟踪某些消息，打开spy++，却怎么也找不到要监视的窗口。一气之下就写下了这个小工具，本着共享的精神，网上拉了个GPL协议进去。 关键字：spy++,handle,message,消息,跟踪,句柄

用于安装Labview Runtime，Labview运行引擎（64位），LabWindows/CVI底层驱动程序

心音-深度学习 该项目旨在在低功耗ARM处理器（例如在树莓派上找到的处理器）上运行。 目的是将该软件打包到一个小型硬件设备中，发展中国家的护理工作者可以使用该设备来检测心脏病的早期发作。

VC++多种效果的液晶数字显示控件，基于vc6.0开发，封装成类，可以直接复用

Thank you for purchasing the MEAP for Deep Learning with R. If you are looking for a resource to learn about deep learning from scratch and to quickly become able to use this knowledge to solve real-world problems, you have found the right book. Deep Learning with R is meant for statisticians, analysts, engineers and students with a reasonable amount of R experience, but no significant knowledge of machine learning and deep learning. This book is an adaptation of my previously published Deep Learning with Python, with all of the code examples using the R interface to Keras. The goal of the book is to provide a learning resource for the R community that goes all the way from basic theory to advanced practical applications. Deep learning is an immensely rich subfield of machine learning, with powerful applications ranging from machine perception to natural language processing, all the way up to creative AI. Yet, its core concepts are in fact very simple. Deep learning is often presented as shrouded in a certain mystique, with references to algorithms that “work like the brain”, that “think” or “understand”. Reality is however quite far from this science- fiction dream, and I will do my best in these pages to dispel these illusions. I believe that there are no difficult ideas in deep learning, and that’s why I started this book, based on premise that all of the important concepts and applications in this field could be taught to anyone, with very few prerequisites. This book is structured around a series of practical code examples, demonstrating on real- world problems every the notions that gets introduced. I strongly believe in the value of teaching using concrete examples, anchoring theoretical ideas into actual results and tangible code patterns. These examples all rely on Keras, the deep learning library. When I released the initial version of Keras almost two years ago, little did I know that it would quickly skyrocket to become one of the most widely used deep learning frameworks. A big part of that success is that Keras has always put ease of use and accessibility front and center. This same reason is what makes Keras a great library to get started with deep learning, and thus a great fit for this book. By the time you reach the end of this book, you will have become a Keras expert. I hope that you will this book valuable —deep learning will definitely open up new intellectual perspectives for you, and in fact it even has the potential to transform your career, being the most in-demand scientific specialization these days. I am looking forward to your reviews and comments. Your feedback is essential in order to write the best possible book, that will benefit the greatest number of people.

本源码演示VC ADO连接数据库的方法、ListCtrl控件的使用方法：使用ADO连接数据库并实现数据查询，介绍了三个知识点：ADO数据库连接、数据库查询、数据列表ListCtrl的使用。具体一点就是实现了数据库的打开、关闭、记录集读娶ListCtrl控件的使用等，本示例运行效果如下图所示。

网上有类似QQ右下角弹出窗口,但是大都是VS做的,而且是SDK开发环境写的,没有MFC,本例子正是用VC6.0 MFC开发.

这是用VC++所编写的单文档文字文档调用，这应是VC++中单文档项目中最基本的。

 MSComm控件通信功能的实现，还是间接调用Windows API编程的结构。他提供了一系列标准通信命令的使用接口，利用它可以建立与串口的连接，并可以通过串口连接到其他设备，发出命令，交换数据以及见识和响应串行连接中发生的事故与错误。 目前，MSComm空间提供了“事件驱动”和“查询法”两种处理通讯问题的方法。 数据按驱动方式，是处理串行端口交互作用的一种非常有效的方法。在很多情况下，事件发生的时候要进行通知，这样我们就可以应用MSComm控件的OnComm()事件来捕获这些通信事件（当然啦，OnComm事件还可以检查和处理通信错误）。在实际的通信编程过程中，我们也正式在OnComm()事件处理函数中添加自己处理的代码，基于事件驱动-消息响应的方式可靠性极高！         查询方式，实质上还是事件驱动，在某些情况下该种方式可能更便捷。在程序的每个关键功能之后可以通过检查CommEvent属性值来查询事件和错误。