caozuogezi

C++ primer 中文版教材 。。。。。。。。。。。(C++ primer book book. welcom to download)

说明：  本书由Keras之父、现任Google A工智能研究员的弗朗索瓦?肖莱（Frangois Chollet）执笔，详尽介 绍了用Python和Keras进行深度学习的探索实践，涉及计算机视觉、自然语言处理、生成式模型等应用。 书中包含30多个代码示例，步骤讲解详细透彻。由于本书立足于人工智能的可达性和大众化，读者无须 具备机器学习相关背景知识即可展开阅读。在学习完本书后，读者将具备搭建自己的深度学习环境、建立 图像识别模型、生成图像和文字等能力(This book is written by Frangois Chollet, the father of keras and the current researcher of Google a intelligence. It introduces in detail the exploration and practice of deep learning with Python and keras, involving computer vision, natural language processing, generative model and other applications. The book contains more than 30 code examples, and the steps are detailed and thorough. Because this book is based on the accessibility and popularization of artificial intelligence, readers can read it without having the background knowledge of machine learning. After learning this book, readers will have the ability to build their own deep learning environment, establish image recognition model, and generate images and characters)

计算机故障排除方法，很有用的电子书，不错的教程。(Computer troubleshooting methods, useful e-books, good tutorial.)

介绍网络协议802.11的经典书籍，帮助快速掌握协议内容，推荐您拥有。(802.11 network protocol introduce classic books, to help gain a quick agreement, recommend that you have.)

GA工具箱,内有详细的说明文档,我找了很长时间才找到的。(GA toolbox for matlab.)

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Exceptional C++书籍，质量特别好，有利于C转C++，而且中文版有利于英语不是很好的人阅读(Exceptional C++ books, the quality is particularly good, is conducive to C to C++, and the Chinese version is conducive to English is not very good people reading)

说明：  C Primer Plus 第6版 中文版，针对C11标准进行全面更新，经久不衰的C语言畅销经典教程，本书详细讲解了C语言的基本概念和编程技巧。(The 6th edition of C Primer Plus in Chinese is a long-standing classic course of C language best-selling, which comprehensively updates the C11 standard. This book explains the basic concepts and programming skills of C language in detail.)

电子工业出版社.无线通信系统仿真--C++实用模型(Electronics Industry Publishing House. Wireless communication system simulation- C++ Utility Model)

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.)