Machine_Learning_in_Action

关于EPM570T和CH365的PCI和CPLD的PCB图

Power Electronics experiments in Advance Electronics Lab of IIT Patna

这是Kai Liu 和Tovar开发的169行MATLAB程序的说明文章，采用了SIMP算法，用于三维的结构拓扑优化。(This is the 169 line MATLAB program developed by Kai Liu and Tovar, and uses the SIMP algorithm for 3D structural topology optimization.)

陈火旺：程序设计语言编译原理(Chan Huo : Programming Language Compiler Principle)

说明：  Python高性能编程，本书适合初级和中级Python程序员、有一定Python语言基础想要得到进阶和提高的读者阅读。(Python High Performance Programming)

C语言进阶书籍，可做为参数手册使用，内容详细，需要有编程基础(advanced c programing language book)

互相关模糊函数的matlab程序，很不错的，( cross_ambfn2.m- amodification of "ambfn1.m" for plotting cross ambiguity between two signals OF THE SAME LENGTH Designed to allow mismatch caused by FFT Doppler processing a pulse train. The two signals differ only in phases (if there is frequency mode it is the same in both signals. ambfn1.m- plots ambiguity function of a signal u_basic (row vector) The m-file returns a plot of quadrants 1 and 2 of the ambiguity function of a signal The ambiguity function is defined as: )

说明：  本书包含数据结构和算法的基本概念及数学和 C#的知 识，常用的数据结构以及在.NET 框架中相应的数据结构查找常用的各种方法及其应用以及在.NET 框架中相应的算法。(This book contains the basic concepts of data structure and algorithm, the knowledge of mathematics and C , the common data structure, the common methods and applications for finding the corresponding data structure in the Net framework, and the corresponding algorithm in the Net framework.)

操作系统中文版第六版，包含九章内容，全面介绍了操作系统的概念和执行流程，并附以实例加以说明(Chinese version of the sixth edition of the operating system, contains nine chapters content, a comprehensive introduction to the concept and implementation of the operating system processes, accompanied by examples to illustrate)

说明：  《深度学习》由全球知名的三位专家Ian Goodfellow、Yoshua Bengio 和Aaron Courville撰写，是深度学习领域奠基性的经典教材。全书的内容包括3个部分：第1部分介绍基本的数学工具和机器学习的概念，它们是深度学习的预备知识；第2部分系统深入地讲解现今已成熟的深度学习方法和技术；第3部分讨论某些具有前瞻性的方向和想法，它们被公认为是深度学习未来的研究重点。(Deep learning, written by three famous experts in the world, is a classic textbook in the field of deep learning. The book consists of three parts: the first part introduces the basic mathematical tools and the concept of machine learning, which are the preparatory knowledge of deep learning; the second part systematically explains the mature deep learning methods and technologies; the third part discusses some forward-looking directions and ideas, which are recognized as the future research focus of deep learning.)