python网络编程

说明：  机器学习中绘制ROC曲线，是非常关键的，老师编的ROC曲线，亲测有效。(It is very important to draw ROC curve in machine learning. The ROC curve compiled by the teacher is effective in pro test.)

卷积神经网络进行图像去噪，比较经典的一篇文章代码。(The convolutional neural network performs image denoising and compares the classic article code.)

实现购物车功能例子

说明：  Caffee框架下实现Faster R-CNN ，backbone为vgg(Faster R-CNN is implemented under Caffee framework, and backbone is VGG)

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：  利用python编程的WOFOST作物模型，进行作物产量等模拟，实现wofost模型。(The WOFOST crop model programmed by Python was used to simulate crop yield and realize WOFOST model.)

machine learning 方面有关于The Bayes Classifier的资料，语言是python(machine learning aspects have The Bayes Classifier information about language is python)

k近邻算法实现，该算法有导师监督学习，可以对标签类的数据进行很好的分类处理，对科研或是工作给予极大的数据分析帮助，里面包括要分析的数据，核心代码有注释，方便阅读。

说明：  TCP/IP发送文件，并接受文件或数字或数据，可直接运行(TCP / IP sends files and accepts files or numbers or data, which can run directly)

帮助安装python，同时了解python的基本界面，以及有关anaconda的知识(to help install python)