Deep Learning With Python中文版

The C Programming Language(The C Programming Language )

python学习手册，可供机器学习的同学学习，讲的还是比较好。(Python learning manuals, for machine learning students to learn, speak better.)

说明：  郝斌C语言详细笔记(附源码)，Hao Bin C Language Detailed Notes (with source code)(Hao Bin C Language Detailed Notes (with source code))

详细介绍了分布式系统设计(details of the Distributed System Design)

非常经典的一本讲述C标准的书.不用多说了! 相信对您大有帮助!(It s rather classical C book about its standard. It s believed to be very useful for you.)

《精通MATLAB最优化计算》作者：龚纯(Proficient in MATLAB optimization calculation)

用于ADS学习的入门书籍，可快速掌握ADS的使用(ADS learning for the introduction of books, you can quickly master the use of ADS)

说明：  锁相的意义是相位同步的自动控制,能够完成两个电信号相位同步的自动控制闭环系统叫做锁相环,简称PLL. 3种软件锁相的方法：指针归零法，先调频后调相法，调频调相同时进行法。(The meaning of phase-locked is the automatic control of phase synchronization. The automatic control closed-loop system that can complete the phase synchronization of two electrical signals is called PLL The 3 method of software phase-locked: pointer to zeros, first phase modulation after frequency modulation, frequency modulation phase modulation at the same time.)

说明：  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.)

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)