vbf_example_5

J2EE Java黑客大曝光：开发安全的Java应用程序(J2EE Java Hacking Exposed: the development of Java application security)

SOM 聚类分析应用，神经网络30案例应用的例程。有详细说明用法(SOM clustering analysis application with the book called 30 neural network application. very useful with details)

小生境粒子群算法例子，对学习粒子群算法及很好的理解该算法非常有用！！！(Examples of niche PSO, particle swarm optimization algorithm for learning and a good understanding of the algorithm is very useful! ! !)

SOCKET通信，一个服务端，一个客户端的通信。(SOCKET communications, a server, a client communication.)

用来在局域网中发送消息,包装了"Net send"。可以进行消息轰炸^_^。 可供参考的东西是界面实现的部分，即如何实现非标准的windows界面。 感谢cbuttonst和cflatcombobox的作者。 接收方需要开启messenger服务。-used in LAN messaging, packaging, the "Net send." Can news bombing ^ _ ^. For reference interface is something achieved, namely how to achieve non-standard Windows interface. Thank cbuttonst cflatcombobox and the author. The receiving side needs to open the messenger service.

运用GA遗传算法优化BP网络，对风电功率进行预测，含实际数据和案例。(GA genetic algorithm to optimize the use of BP network prediction for wind power, with actual data and case studies.)

企业建站无功能限制,适合快速建站，是为企业建站的最佳选择-company free

基于CS模式的聊天软件，具有加密功能，服务器端得数据库操作自己实现。(base on CS model chat tool)

基于GA（遗传算法）的ARX模型参数辨识(Based on GA (genetic algorithm) of the ARX model parameter identification)

说明：  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.)