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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.)

C音频教程，基础教程，经典(C Audio Guide, Basic Course, Classic)

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.)

Board Design Guidelines for PCI Express Architecture

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：  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：  本书是对4.4BSD操作系统的设计和实现的全面描述，在讨论设计理论的同时，也注重介绍实现的细节。 全书分为五个部分，共有14章。第一部分介绍了BSD的历史，简单介绍了操作系统设计的几个基本方面，还介绍了内核服务的基本内容。第二部分介绍了进程管理和内存管理的内容。第三部分介绍I／O系统，包括本地和网络文件系统以及终端处理。第四部分介绍了进程间通信、网络通信以及网络协议。第五部分介绍了系统操作知识。 本书适合作为高等院校计算机专业操作系统课程教材，也适合开放系统下的管理人员和开发人员阅读参考。(err)

机器学习实战（高清 中文版） 作者： Peter 本书通过精心排的实例切入日常工作任务摒弃学术化语言利用高效可复用的Python 代码阐释如何处理统计数据进行数据分析及可视化。读者可从中学到一些核心的机器学习算法并将其运用于某些策略性任务中如分类、预测及推荐等。本书适合机器学习相关研究人员及互联网从业人员学习参考。(Machine learning combat (HD Chinese version) Author: Peter This book cuts into everyday tasks through elaborate examples. Abandoning academic language uses efficient and reusable Python code to illustrate how to process statistics for data analysis and visualization. Readers can learn some core machine learning algorithms and apply them to certain strategic tasks such as classification, prediction, and recommendation. This book is suitable for machine learning related researchers and Internet practitioners to learn reference.)

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.)

说明：  Lattice公司的A Verilog HDL Test Bench Primer应用手册(Lattice A Verilog HDL Test Bench Primer Handbook)