ABAQUS离散元脚本

各种基础深度学习程序，识别图片，线性回归，等一系列(Various Basic Deep Learning Procedures)

本书首先从简单的思路着手，详细介绍了理解神经网络如何工作所必须的基础知识。第一部分介绍基本的思路，包括神经网络底层的数学知识，第2部分是实践，介绍了学习Python编程的流行和轻松的方法，从而逐渐使用该语言构建神经网络，以能够识别人类手写的字母，特别是让其像专家所开发的网络那样地工作。第3部分是扩展，介绍如何将神经网络的性能提升到工业应用的层级，甚至让其在Raspberry Pi上工作。(This book begins with a brief introduction to the basics necessary to understand how neural networks work. The first part introduces the basic ideas, including the basic mathematical knowledge of the neural network, the second part is the practice, introduces the popular and easy way to learn Python programming, so as to gradually use the language to construct neural networks to recognize human handwritten letters, especially to make them as well as the network developed by experts. Do. Part 3 is an extension of how to improve the performance of neural networks to the level of industrial applications, and even let them work on Raspberry Pi.)

说明：  该插件用于快速生成2维VORONOI图 请将文件解压到C盘-用户-abaqus_plugins文件夹下(This plug-in is used to generate 2D Voronoi graph quickly Please unzip the file to the C disk user ABAQUS plugins folder)

使用python对太阳系中的行星相对地球的运动进行模拟，并且通过matplot绘制出来。(Use python planets in the solar system relative to the Earth' s motion simulation, and drawn by matplot.)

说明：  ubuntu上用于激活pycharm的工具，解压后直接拖到pycharm IDE上即可激活，方便简单使用，欢迎有需要的朋友下载。(The utility used to activate pychar on Ubuntu can be activated by directly dragging it to pychar ide after decompression. It is convenient and easy to use. You are welcome to download it.)

说明：  用Python计算图像对不同地物分类精确度， 计算分类结果图与标准参考图的混淆矩阵， 对分类结果进行评价(Python was used to calculate the classification accuracy of images for different ground objects, calculate the confusion matrix between the classification result map and the standard reference map, and evaluate the classification results)

说明：  基于深度强化学习的编队控制使用MADDPG算法(Formation control based on deep reinforcement learning)

python对文件进行批量改名用到的是os模块中的listdir方法和rename方法。 os.listdir(dir) :获取指定目录下的所有子目录和文件名 os.rename(原文件名,新文件名)

说明：  蓝桥杯青少年创意编程Python组赛前集训教程包，青少年Python编程比赛官网教程。(Blue Bridge Cup youth creative programming Python group pre competition training package, youth Python Programming Competition official website tutoria)

Spanish python language learning book