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图论课程设计的左右，有兴趣的可以看看！ 图论课程设计的左右，有兴趣的可以看看！(graph theory about the curriculum design, interested can see! Gra ph theory about the curriculum design, interested can see!)

CryptAPi操作的DEMO，全部测试CryptAPI函数，其中针对之前的cSP操作方式进行相关的测试和开发，针对使用者有很好的帮助。(DEMO CryptAPi operation, all the tests CryptAPI function, which for the previous cSP operation related testing and development, there is a good help for the user.)

说明：  基于STM32F28335的无刷直流电机BLDC的开环控制(Open loop control of BLDC)

本代码是根据GPS数据解析代码经修改适用于北斗数据的解析(This code is a modification applies to Compass data analysis based on GPS data parsing code by)

支持自己设计迷宫，并一键自动求解最短路径，游戏界面附有操作说明(Supports oneself to design the maze, and automatically solves the shortest path with one key. The game interface is accompanied by operation instructions.)

说明：  C# 游戏开发实例,经典游戏,里面包含多个游戏实例,供大家参考(C# Game Development Example, Classic Game, which contains many game examples for your reference)

一个简单的通迅录Ｃ++源码，不过很有用，可以值得参考一下。(A simple communication the recorded C++ source, however useful, can be worth considering.)

定时器每100us中断一次，在中断服务程序中,对中断次数进行计数，100us计数10000次就是1秒。然后再对秒计数得到分和小时值，并送入显示缓冲区。(Timer interrupt every 100us, in the interrupt service routine, the interrupt number of counts, 100us count is 1 second 10000. Then seconds count the minutes and hours values 椠渀琀漀 the display buffer.)

说明：  第四部分！ 本书从深度学习的发展历程讲起，以丰富的图例从理论和实践两个层面 介绍了深度学习的各种方法，以及深度学习在图像识别等领域的应用案例。内 容涉及神经网络、卷积神经网络、受限玻尔兹曼机、自编码器、泛化能力的 提高等。此外，还介绍了包括Theano 、Pylearn2 、Caffe 、DIGITS 、Chainer 和 Tensorflow 在内的深度学习工具的安装和使用方法。 本书图例丰富， 清晰直观，适合所有对深度学习感兴趣的读者阅读。(This book starts from the development process of deep learning, with rich illustrations from two levels of theory and Practice This paper introduces various methods of deep learning and application cases of deep learning in image recognition. within It involves neural networks, convolution neural networks, restricted Boltzmann machines, self encoders, generalization ability. Raise and so on. In addition, it introduces theano, pylearn2, Caffe, digits, chainer and Installation and usage of deep learning tools including tensorflow. This book is rich in legends, clear and intuitive, suitable for all readers who are interested in deep learning.)

该代码用于判断一个处理器是大端模式还是小端模式(The codes are used to distinguish if a CPU is a big-endian mode or little-endian mode.)