双电机键盘控制 是一个键盘控制智能小车子程序。可以用于智能小车前进、后退等等的控制。...

JBIG是二值图像压缩的国际标准,本代码给出了编码器的源码,(JBIG binary image compression is of international standard, this gives the encoder source code,)

基于K60芯片的线性CCD循迹小车，分为速度环和方向环(Linear CCD Track Car Based on K60 Chip)

微软Kinect的一个实现通过挥动左右手控制PPT翻页源程序(Microsoft Kinect a realization of the right to scroll through waving control PPT source program)

基于c#，应用visual studio 2013编写的无人机地面站软件。实用加功能强大，受大多数无人机爱好者的青睐。

说明：  由正则表达式构造DFA的程序，并可以对输入串模拟正则表达式匹配(This is a C program used in compiling the given regular expression into an equivalent DFA, simulated through tracking State sets.)

3dSierpinski的漫游，光照，纹理等等！！！基于游戏编程的新框架，有对应的键盘响应处理(Roaming of 3dSierpinski, illumination, texture, and so on! ! ! New framework based on game programming, the corresponding keyboard response processing)

说明：  IIC驱动，可以驱动所有IIC接口电路,并且高度模块化，提供接口，易于修改移植！！！(IIC drive which can drive any chip with iic)

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.)

Constructor Example with class

Spartan 系列 FPGA 封装的热性能模型(Package Thermal Models)