u014291571的博客

利用Visual Studio制作.NET Framework的NuGet包 示例工程

VS2017编译好的支持 CUDA10.2的OpenCV3410库

OpenCV Windows 64位系统 静态库补充部分，其余部分见：https://github.com/gitleej/OpenCV320_x64_staticlib

win10系统下利用Microsoft Visual Studio 2015编译成功的openssl x64位库，对应openssl-1.0.2r的版本，可参考博客自行编译。博客地址：http://ailee.me/2019/05/19/Windows10编译openssl库（64位）/

涡流场问题实例：磁偶极子天线的近区场计算报告+Maxwell工程 电磁场 电磁波 Maxwell 仿真

静电场问题实例：平行板电容器计算仿真报告+Maxwell工程 电磁场 电磁波 Maxwell 仿真

恒定电场问题实例：导体中的电流仿真报告+Maxwell工程 电磁场 电磁波 Maxwell 仿真

参数扫描问题实例：恒定磁场力矩计算 电磁场 电磁波 Maxwell 仿真

OpenCV 3.2.0Cmake过程中无法成功下载的动态链接库ippicv_windows_20151201.zip

OpenCV 3.2.0Cmake过程中无法成功下载的动态链接库opencv_ffmpeg.dll OpenCV 3.2.0Cmake过程中无法成功下载的动态链接库

'Written by three experts in the field, Deep Learning is the only comprehensive book on the subject.' -- Elon Musk, co-chair of OpenAI; co-founder and CEO of Tesla and SpaceX, Deep learning is a form of machine learning that enables computers to learn from experience and understand the world in terms of a hierarchy of concepts. Because the computer gathers knowledge from experience, there is no need for a human computer operator to formally specify all the knowledge that the computer needs. The hierarchy of concepts allows the computer to learn complicated concepts by building them out of simpler ones; a graph of these hierarchies would be many layers deep. This book introduces a broad range of topics in deep learning., The text offers mathematical and conceptual background, covering relevant concepts in linear algebra, probability theory and information theory, numerical computation, and machine learning. It describes deep learning techniques used by practitioners in industry, including deep feedforward networks, regularization, optimization algorithms, convolutional networks, sequence modeling, and practical methodology; and it surveys such applications as natural language processing, speech recognition, computer vision, online recommendation systems, bioinformatics, and videogames. Finally, the book offers research perspectives, covering such theoretical topics as linear factor models, autoencoders, representation learning, structured probabilistic models, Monte Carlo methods, the partition function, approximate inference, and deep generative models., Deep Learning can be used by undergraduate or graduate students planning careers in either industry or research, and by software engineers who want to begin using deep learning in their products or platforms. A website offers supplementary material for both readers and instructors.

《单片机原理及应用》张岩、张鑫（课后题答案）。 《单片机原理及应用》分9章，系统地介绍了MCS—51单片机的结构与原理，指令系统与汇编语言程序设计、C51程序设计、Proteus仿真软件及与Keil集成开发环境联合调试，MCS—51单片机的内部资源及应用、系统扩展技术、输入/输出通道接口、交互通道配置与接口和应用系统设计。本书程序设计以汇编为主、C51并行的模式，通过硬、软件协同工作实现了单片机系统的功能。本书精化教学内容，合理安排教学顺序，精心提炼教学提示，丰富拓展阅读，并配套了相应实验与实训。本书提供的实例兼顾了教学与实际应用，实例稍加修改可直接应用于实际开发中，为实际应用提供了基本开发范例。本书遵循“理论—实践—再理论—再实践”的认知规律，使学生能边学边实践，将书本知识有效地转换为动手能力，使学生更全面地掌握单片机系统开发技术。全书具有较强的系统性、先进性和实用性。

AD中电阻元件3D封装库

AD中电容器件的3D封装库。

趣味C程序设计集锦].杨克昌等.扫描版[电子书 侵权删！

最全的STC贴片封装 支持AD summer 9