DCGAN的Tensorflow算法实现

主要实现了使用神经网络实现(7,4)自编码器(Using neural network implementation (7,4) autoencoder)

【实例简介】数据转换与基本语法实例

说明：  这是对refinenet的轻量级实现，可以进行实时语义分割(Light-Weight RefineNet for Real-Time Semantic Segmentation)

说明：  应用：森林应用单木分割python代码下载，算法下载，处理点云数据进行单木分割。(orest application single wood segmentation Python code download, algorithm download, processing point cloud data single wood segmentation.)

说明：  机器学习第二版书籍源码，文件较大，分章节上传(This is the code repository for Python Machine Learning - Second Edition, published by Packt. It contains all the supporting project files necessary to work through the book from start to finish.)

说明：  该程序实现PCA的分类功能，程序后面有详细的解释，经检测，程序能够跑通(The program realizes the classification function of PCA. The program is explained in detail later. After testing, the program can run through.)

《AbaqusGUI程序开发指南（Python语言）》配套资源(Matching Resources of Abaqus GUI Programming Guide (Python Language))

python与机器学习实战教程，机器学习通过Python语言实现，通过大量的实例再现机器学习强大的生命力(Python and Machine Learning Practical Course. Machine Learning is realized by Python Language, and the powerful vitality of machine learning is reappeared through a large number of examples.)

本文是2016 台湾资料科学年会前导课程“一天搞懂深度学习”的全部讲义PPT（共268页），由台湾大学电机工程学助理教授李宏毅主讲。作者在文中分四个部分对神经网络的原理、目前存在形态以及未来的发展进行了介绍。深度学习的每一个核心概念在文中都有相关案例进行呈现，通俗易懂。一天的时间搞懂深度学习？其实并不是没有可能。(This is the entire handout PPT (268 pages in total) of "a day to understand deep learning", the leading course of the 2016 Taiwan annual conference of data science. It was given by li hongyi, assistant professor of electrical engineering at Taiwan university.In this paper, the author introduces the principle, existing form and future development of neural network in four parts.Each core concept of deep learning is presented in relevant cases, which are easy to understand.)

遗传算法解决 TSP 问题，并将其可视化