机器学习实战——python 3.5.2

Python实现的基于卷积神经网络的人脸识别测试程序，包含了实验所需的图片数据。(Python implementation of the neural network based on the convolution of the face recognition test procedures, including the required image data.)

说明：  一个基于python语言的D2D信道分配编程(A D2D Channel Allocation Programming Based on Python Language)

【实例简介】图像匹配

cohesive单元资料，可以用于cohesibe单元的分析，便于学习abaqus相关内容(cohesive elsment fenxixuexi)

说明：  中国电子科技集团公司认知与智能技术重点实验室发布的MaCA（Multi-agent Combat Arena）环境，是国内首个可模拟军事作战的轻量级多智能体对抗与训练平台，是多智能体对抗算法研究、训练、测试和评估的绝佳环境，可支持作战场景和规模自定义，智能体数量和种类自定义，智能体特征和属性自定义，支持智能体行为回报规则和回报值自定义等。(MaCA (multi agent combat) issued by the Key Laboratory of cognitive and intelligent technology of China Electronic Technology Corporation Arena) environment is the first lightweight multi-agent confrontation and training platform that can simulate military operations in China. It is an excellent environment for the research, training, testing and evaluation of multi-agent confrontation algorithms. It can support the customization of battle scenarios and scales, the number and types of agents, the characteristics and attributes of agents, and the behavior return rules and values of agents And so on.)

该存储库包含由L.Gatys，A.Ecker和M.Bethge提供的“一种艺术风格的神经算法”的基于pyCaffe的实现，其提供了将一个输入图像的艺术风格转移到另一个输入图像的方法。 神经网络操作由来自来自来自Caffe处理，而损失最小化和其他杂项矩阵操作使用numpy的的的和SciPy的的的执行.L-BFGS用于最小化。

pip for Python2.7，Python的插件，用于安装其他插件(PIP for Python2.7, Python plugin, used to install other plug-ins)

说明：  Predicting concentration value using the soft vector machine

abaqus中生成连接环的python程序(Python program for connecting rings in ABAQUS)

基于深度学习字符型图片数字验证码识别完整过程及Python实现（深度学习学习、实现数字、字符模型训练、详细介绍附源码）