Python K-Means Clustering with Cosine Similarity

说明：  使用ARIMA-SVR组合预测的方式对数据进行预测，ARIMA与SVR分别对线性与非线性有较好的预测效果，因此通过SVR来预测ARIMA的残差使得预测结果更为精确(Arima-svr combined forecasting method is used to forecast the data. ARIMA and SVR have better prediction effect on linear and nonlinear respectively. Therefore, the residual of ARIMA predicted by SVR makes the prediction result more accurate)

搭建简单的界面，并调用深度学习植物叶片识别模型，实现一些植物叶片的分类。(Build a simple interface, and call in-depth learning plant leaf recognition model to achieve some plant leaf classification.)

说明：  SeayFindShell( linux下python版webshell(web后门)查杀工具)(SeayFindShell( linux-python-webshell(web backdoor kill))

基于Python语言和OpenCV实现了笑脸检测，首先进行人脸检测，然后在人脸检测的基础上进行笑脸检测。(This code implement smile detection based on OpenCV and Python. Face detection is done firstly and then smile detection is done based on the output face of the face detection.)

对于文本分类问题，常见的方法无非就是抽取文本的特征，比如使用doc2evc或者LDA模型将文本转换成一个固定维度的特征向量，然后在基于抽取的特征训练一个分类器。 然而研究证明，TextCnn在文本分类问题上有着更加卓越的表现。从直观上理解，TextCNN通过一维卷积来获取句子中n-gram的特征表示。TextCNN对文本浅层特征的抽取能力很强，在短文本领域如搜索、对话领域专注于意图分类时效果很好，应用广泛，且速度快，一般是首选；对长文本领域，TextCNN主要靠filter窗口抽取特征，在长距离建模方面能力受限，且对语序不敏感。

通过Python给Shape文件添加字段，需要ArcGIS 10.0 以上版本支持

说明：  图像开运算代码实例，可以直接运行，只需修改路径(Examples of image open operation code)

python实现126邮箱自动登录源码，需要一些类库支持才能运行，请先下载相关类库.(python achieve 126 mailboxes automatically log source, need some support in order to run the library, please download library.)

说明：  本书主要介绍深度学习的核心算法，以及在计算机视觉，语音识别、自然语言处理中的相关应用，适合深度学习从业人士或者相关研究生作为参考资料，也可以作为入门教程来大致了解深度学习的相关前沿技术(This book mainly introduces the core algorithms of deep learning, as well as relevant applications in computer vision, speech recognition and natural language processing. It is suitable for practitioners of deep learning or relevant graduate students as reference materials, and can also be used as an introductory course to roughly understand the cutting-edge technologies of deep learning)

了解基本编程知识，熟悉编程算法，用Python编写奇偶分数求和函数。(Understanding basic programming knowledge, familiar with programming algorithms, using Python to write odd and even fraction summation function.)