tensorflow官方代码教程

Cart-pole problem solition with python

对BSS论坛正文代码的提取，可对一般通用论坛进行提取

和经典的坦克大战一样，很好玩！！！！！！！！！！！！！！！！！！！！！！！！！！！！！！！！！！！！！！！！！！！！！！！！！！！！！！！！！！！！！！！！！！！！！！！！！！

说明：  WS小世界网络的生成过程的python代码。(Ws small world network generation process code.)

利用python脚本，调用arcpy工具，提取卫星影像外接矩形适量数据。

说明：  机器学习是人工智能研究领域中的一个极其重要的方向。在现今大数据时代的背景下，捕获数据并从中萃取有价值的信息或模式，使得这一过去为分析师与数学家所专属的研究领域越来越为人们瞩目。本书通过精心编排的实例，切入日常工作任务，摒弃学术化语言，利用高效可复用的Python 代码阐释如何处理统计数据，进行数据分析及可视化。读者可从中学到一些核心的机器学习算法，并将其运用于某些策略性任务中，如分类、预测及推荐等。(Machine learning is an extremely important direction in the field of artificial intelligence research. In the context of the current era of big data, capturing data and extracting valuable information or patterns from it has made this research area that was exclusive to analysts and mathematicians more and more attractive. Through well-organized examples, this book cuts into daily work tasks, abandons academic languages, and uses efficient and reusable Python code to explain how to process statistical data, perform data analysis and visualization. Readers can learn some core machine learning algorithms and apply them to certain strategic tasks, such as classification, prediction, and recommendation.)

说明：  abaqus中自动生成材料的微观结构，以及边界条件的施加。同时拥有后处理功能(This plugin provides helpful functionality for setting up and post-processing FE-RVE models. Model setup includes the imposition of far-field loading through periodic or non-periodic boundary conditions, and setting up the loads and analysis steps necessary to perform homogenization of properties or imposition of a far-field load history. Post processing includes determining the homogenized properties of the FE-RVE from the completed analysis as well as performing averaging and statistical analysis of the fields in the whole RVE and within individual RVE constituent)

python实现人脸识别，通过pca进行降维然后使用SVM算法进行分类(Python realizes face recognition, dimensionality reduction through pca and classification by SVM algorithm)

GMM聚类实现，利用jupybook实现出来，可以看算法的实现原理。(GMM clustering implementation, using jupybook realization, can see the implementation principle of the algorithm.)

说明：  强化学习网页浏览示例，非常好的示例代码。强化学习快速入门(Reinforcement learning web browsing example, very good example code)