计算机图形学是一个成功的技术故事。它的基本理念，表达方式，算法和硬件实现诞生于20世纪60-70年代，并在随后的20年间发展。在20世纪90年代中期，计算机图形技术已经相当成熟，但是其影响仍旧只是局限于某些"高端"程序，例如超级计算机上的科学可视化以及昂贵的飞行模拟器。现在的我们很难相信，但是在那个年代，很多计算机科学专业的学生对3D计算机图形一无所知！ 近几十年来，计算机图形的商业性有了巨大发展。每一个现代PC都能够产生高质量的计算机生成图像，大部分是以视频游戏以及虚拟现实环境的形式。整个动画工业已经从其高端（例如Pixar电影）转移到了孩子们的电视机前。对于实拍电影，视觉特效领域也已经发生了翻天覆地的变化。当今的观众们也不会在看到不可思议的计算机特效时感到畏惧——这已经在预期当中了。 在本书中，我们将会介绍计算机图形技术中基础的数学与算法。我们使用编程API(applications programming interface)OpenGL来完成其中的内容。OpenGL是一个跨平台的图形编程环境，可以用于创建实时图形程序，例如视频游戏。

MATLAB数字信号处理实例精讲高清版本PDF，详细讲解MATLAB数字信号处理85实例，北航出版社

比较新的书籍、VS2015、VS2017、内含有中英文版可供细读、

深入理解LINUX网络技术内幕.pdf 个人收集电子书，仅用学习使用，不可用于商业用途，如有版权问题，请联系删除！

对不起大家啊，由于只能上传15M，但源文件有40多M 所以不能一次上传完，这里上传的只是个压缩分卷，大家是打不开的，在这里你可以发Email:fangfei_86@sian.com向我索要，我绝对会一一发给大家的。好东西绝对要和大家分享

深入PHP面向对象、模式与实践_第3版_高清PDF(附完整源码)，高清PDF，书上所有代码均有附带在压缩包内

Key Features Your quick guide to implementing TensorFlow in your day-to-day machine learning activities Learn advanced techniques that bring more accuracy and speed to machine learning Upgrade your knowledge to the second generation of machine learning with this guide on TensorFlow Book Description TensorFlow is an open source software library for Machine Intelligence. The independent recipes in this book will teach you how to use TensorFlow for complex data computations and will let you dig deeper and gain more insights into your data than ever before. You'll work through recipes on training models, model evaluation, sentiment analysis, regression analysis, clustering analysis, artificial neural networks, and deep learning – each using Google's machine learning library TensorFlow. This guide starts with the fundamentals of the TensorFlow library which includes variables, matrices, and various data sources. Moving ahead, you will get hands-on experience with Linear Regression techniques with TensorFlow. The next chapters cover important high-level concepts such as neural networks, CNN, RNN, and NLP. Once you are familiar and comfortable with the TensorFlow ecosystem, the last chapter will show you how to take it to production. What you will learn Become familiar with the basics of the TensorFlow machine learning library Get to know Linear Regression techniques with TensorFlow Learn SVMs with hands-on recipes Implement neural networks and improve predictions Apply NLP and sentiment analysis to your data Master CNN and RNN through practical recipes Take TensorFlow into production About the Author Nick McClure is currently a senior data scientist at PayScale, Inc. in Seattle, WA. Prior to this, he has worked at Zillow and Caesar's Entertainment. He got his degrees in Applied Mathematics from The University of Montana and the College of Saint Benedict and Saint John's University. He has a passion for learning and advocating for analytics, machine learning, and artif

可惜是英文版，但是高清，非影印，英语好的朋友看不是问题

设计模式(最新高清PDF版),绝对清晰...

剑指Offer名企面试官精讲典型编程题 高清pdf 　面试相关文档