Python Deep Learning

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说明：  主要对Java的23种设计模式进行详细的讲解，内容风趣幽默，举例让人印象深刻(It mainly explains 23 design patterns of Java in detail, with humorous contents and impressive examples)

说明：  研究生系列教材，多传感器信息融合及其应用，杨万海(Multi-sensor information fusion and its application)

用于产生垂向渗透率 根据的是渗透率变异系数 其中层数可以任意给定(Used to produce vertical permeability is based on the permeability coefficient of variation which can be given low-rise)

说明：  苏显渝著，信息光学，第二版，2011，带书签。 信息光学经典教材，第14章包含结构光、三维重建相关内容。(By Su Xianyu, information optics, Second Edition, 2011, including bookmarks. Chapter 14 of this classic textbook of information optics includes structured light and 3D reconstruction.)

随书pptMATLAB仿真在现代通信中的应用(徐明远)(Application of pptMATLAB simulation in modern communication (Xu Mingyuan))

电子工程师应掌握的二十种基本模拟电路，基本电路(Twenty basic analog circuits that electronic engineers should master, Twenty basic analog circuits that electronic engineers should master)

利用ANSYS软件，进行有限元分析。介绍有限元方法、有限元类型、结构分析方法、传热分析方法等。(The finite element analysis is carried out by using ANSYS software.The finite element method, finite element type, structural analysis method and heat transfer analysis method are introduced.)

采用 FSFR 系列飞兆电源开关 (FPS? ) 的半桥 LLC 谐振变换 器的设计(Using the fairchild FSFR series power switch of a half-bridge LLC resonant transformation The design of the device)

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.)