Python Deep Learning

随书pptMATLAB仿真在现代通信中的应用(徐明远)(Application of pptMATLAB simulation in modern communication (Xu Mingyuan))

记号的土人播放器.rar 由 VB 做的(mark of native players. Rar done by VB)

最为经典的c++教程,大概好多人都有了中文版吧?这个是英文原版的,推荐(most classic c Directory, a lot of people probably have a Chinese version of it is the original English version and recommended)

说明：  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：  算法的乐趣，增加对算法的了解。图灵原创，王晓华著(The Fun of Algorithms)

windows 操纵系统，只要学习编程，操作系统是一个绕不开的话题(Windows operating system, as long as learning programming, operating system is an inseparable topic)

自适应动态阈值分割 matlab实现，example： i=imread（ xxx ） thresh-tool(i) (Adaptive Dynamic threshold segmentation matlab realize, example: i = imread (xxx) thresh-tool (i))

Zhi-Hua Zhou received his B.Sc., M.Sc. and Ph.D. degrees in computer science from Nanjing University, China, in 1996, 1998 and 2000, respectively, all with the highest honor. He joined the Department of Computer Science & Technology of Nanjing University as an Assistant Professor in 2001, and at present he is a Professor, Deputy Dean of the Department of Computer Science and Technology, Standing Deputy Director of the National Key Lab for Novel Software Technology, and Founding Director of LAMDA (the Institute of Machine Learning and Data Mining) at Nanjing University.

新编剑桥商务英语中级听力。共有十个单元，每单元分A、B两部分，格式为MP3.(A New Business English Intermediate Listening. A total of 10 units, each unit points A, B two parts, the format is MP3.)

说明：  李航老师的统计学习方法，包括老师的PPT等，机器学习很好的一本入门书籍。(Statistical learning methods)