线性回归-梯度下降

英文教材：《深入浅出，使用python编程》(python learning in English)

基于BP神经网络做安全库存预测研究，实例代码调试成功，未用遗传算法进行优化的代码。

Grayscale Photocopy Machine

说明：  手写数字识别训练集，可以用在深度学习的学习过程中的测试练习(Training set of handwritten digit recognition)

说明：  机器学习是计算机科学与人工智能的重要分支领域. 本书作为该领域的入门教材，在内容上尽可能涵盖机器学习基础知识的各方面。 为了使尽可能多的读者通过本书对机器学习有所了解, 作者试图尽可能少地使用数学知识. 然而, 少量的概率、统计、代数、优化、逻辑知识似乎不可避免. 因此, 本书更适合大学三年级以上的理工科本科生和研究生, 以及具有类似背景的对机器学 习感兴趣的人士. 为方便读者, 本书附录给出了一些相关数学基础知识简介。(Machine learning is an important branch of computer science and artificial intelligence. As an introductory textbook in this field, this book covers all aspects of basic knowledge of machine learning as much as possible. In order to make as many readers as possible understand machine learning through this book, the author tries to use mathematical knowledge as little as possible. However, a small amount of probability, statistics, algebra, optimization, logic knowledge seems inevitable. Therefore, this book is more suitable for undergraduates and postgraduates of science and engineering above the third grade of University, And people who are interested in machine learning with similar background. For the convenience of readers, the appendix of this book gives a brief introduction of some basic mathematical knowledge.)

【实例简介】配置批文件路径，根据匹配串匹配相关文件，进行复制保存

 ； ；你要实现一个简单的电话簿服务程序，将存储

无需定义类中心数目，结果固定，没有随机性，特别适合高维数据

说明：  svm example via sklearn

CK-TensorFlowuse TensorFlow and CNN train and test the CK+ dataset使用双流卷积神经网络对CK+的表情库进行分类，识别结果可以达到99%。(CK-TensorFlowuse TensorFlow and CNN train and test the CK+ dataset uses a double flow convolution neural network to classify CK+ expression libraries, and the recognition results can reach 99%.)