TwinCAT3 入门教程V4.11

说明：  Machine Learning in Action

说明：  高压直流输电系统非线性变结构控制器的设计，仿真(HVDC nonlinear variable structure controller design, simulation)

说明：  本书共有43章，内容涵盖常见的神经网络（BP、RBF、SOM、Hopfield、Elman、LVQ、Kohonen、GRNN、NARX等）以及相关智能算法（SVM、决策树、随机森林、极限学习机等）。同时，部分章节也涉及了常见的优化算法（遗传算法、蚁群算法等）与神经网络的结合问题。此外，本书还介绍了MATLAB R2012b中神经网络工具箱的新增功能与特性，如神经网络并行计算、定制神经网络、神经网络高效编程等(This book consists of 43 chapters, covering common neural networks (BP, RBF, SOM, Hopfield, Elman, LVQ, Kohonen, GRNN, NARX, etc.) and related intelligent algorithms (SVM, decision tree, random forest, extreme learning machine, etc.). At the same time, some chapters also involve the combination of common optimization algorithms (genetic algorithm, ant colony algorithm, etc.) and neural networks. In addition, the book also introduces the new functions and characteristics of the neural network toolbox in MATLAB R2012b, such as parallel computing of neural networks, customized neural networks, efficient programming of neural networks, etc)

说明：  Verilog教程，小梅哥FPGA自学与验证(a basic book of how to learn Veriolg)

floyd book on electronic circuits

说明：  饱受赞誉的Python入门教程，语言十分平易近人，本资源是非扫描PDF版(The highly acclaimed Python introductory tutorial is very accessible in language. This resource is a non-scanned PDF version.)

说明：  LED, as you can see,

说明：  在2015—2016年， 数万名新人进入了深度学习领域，其中很多人都选择了 Keras，因为它是最容易上手的框架（现 在仍然是）。看到大量新人以意想不到的强大方式使用Keras，我开始密切关注人工智能的可达 性和大众化。我意识到，这些技术传播得越广，就会变得越有用、越有价值。可达性很快成为 Keras 开发过程中的一个明确目标，在短短几年内，Keras 开发者社区已经在这方面取得了了不 起的成就(Deep learning tutorial and its source code)

Zhi-Hua Zhou received his B.Sc., M.Sc. and Ph.D. degrees in computer science from Nanjing University, China, in 1996, 1998 and 2000, respectively, all with the highest honor. He joined the Department of Computer Science & Technology of Nanjing University as an Assistant Professor in 2001, and at present he is a Professor, Deputy Dean of the Department of Computer Science and Technology, Standing Deputy Director of the National Key Lab for Novel Software Technology, and Founding Director of LAMDA (the Institute of Machine Learning and Data Mining) at Nanjing University.

secure communicating systems