Python深度学习

详细介绍了第一章 Visual FoxPro基础 第二章 VF 的系统初步 第三章 数据与数据运算 第四章 VF数据库及其操作 (The first chapter introduces the basic Visual FoxPro Chapter II Chapter III VF system preliminary data and data operations database and its operations Chapter VF)

说明：  肖锋主编的PLC精选100例子，主要为工厂钻铣车床，步进控制，电梯等编程(Xiao Feng Editor-in-Chief of the PLC Selected 100 examples, mainly for the factory drilling and milling lathe, step control, elevator programming, etc.)

基于模型的设计_MCU篇，讲解基于模型设计的思想和方法(Model based design _MCU explains the ideas and methods of model-based design)

Deep Learning With Python_中文版 --本书由Keras之父、现任Google人工智能研究员的弗朗索瓦?肖莱（Franc?ois Chollet）执笔，详尽介绍了用Python和Keras进行深度学习的探索实践，包括计算机视觉、自然语言处理、产生式模型等应用。书中包含30多个代码示例，步骤讲解详细透彻。(Chinese Version - This book is written by Franc OIS Chollet, the father of Keras and current researcher of Google Artificial Intelligence. It introduces in detail the exploratory practice of in-depth learning with Python and Keras, including computer vision, natural language processing, production model and other applications. The book contains more than 30 code examples with detailed steps.)

华为的代码规范，C语言版,适合嵌入式行业的工程师(Code regulation used in HUAWEI, C language version.)

说明：  凌禹. 双馈风力发电系统的建模仿真与控制.pdf。清晰版书籍，网上很难找的。(Ling Yu. Modeling, simulation and control of doubly fed wind power generation system.pdf. Clear edition books are hard to find on the Internet.)

计算机故障排除方法，很有用的电子书，不错的教程。(Computer troubleshooting methods, useful e-books, good tutorial.)

说明：  先进控制策了 模型预测控制（MPC）的经典书籍分享(Classic books on model predictive control)

ANSYS详细的中文帮助-用于Fluent初学者(ANSYS detailed Chinese help)

说明：  Python数据挖掘入门与实践 本书作为数据挖掘入门读物，介绍了数据挖掘的基础知识、基本工具和实践方法，通过循序渐进地讲解算法，带你轻松踏上数据挖掘之旅。本书采用理论与实践相结合的方式，呈现了如何使用决策树和随机森林算法预测美国职业篮球联赛比赛结果，如何使用亲和性分析方法推荐电影，如何使用朴素贝叶斯算法进行社会媒体挖掘，等等。本书也涉及神经网络、深度学习、大数据处理等内容。本书面向愿意学习和尝试数据挖掘的程序员。(Introduction and practice of Python data mining As a primer on data mining, this book introduces the basic knowledge, basic tools and practical methods of data mining. By step-by-step explanation of the algorithm, you can easily embark on the journey of data mining. This book uses a combination of theory and practice, showing how to use the decision tree and random forest algorithm to predict the results of the American professional basketball league game, how to use the affinity analysis method to recommend movies, how to use the naive Bayesian algorithm for social media mining ,and many more. This book also covers neural networks, deep learning, big data processing and more. This book is for programmers who are willing to learn and experiment with data mining.)