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说明：  神经网络基础ppt,课件来源于吴恩达老师深度学习课程课件(Ppt of neural network foundation, the courseware comes from the courseware of in-depth learning of teacher Wu enda)

说明：  利用netcd库 python语言读取nc气象文件(Using Python language of netcd library to read NC meteorological files)

指纹识别预处理，预处理包括图像增强，图像细化，寻找奇异点，细节检测(Preprocessing of fingerprint identification)

说明：  adaboost python代码实现，且附有常用机器学习指标检测代码(code and data of adaboost algorithm , can be run directly)

说明：  通过python进行编程，运用贝叶斯算法原理，对iris数据集进行分类(Classification of iris data sets by Bayes)

LSTM 多变量预测，天气等影戏因素，可以执行，完全可以执行，思想也很简单(LSTM multivariable prediction)

meanshift算法的python实现 + 图像化显示(meanshift with python)

一个题库爬虫，包括抓取试题，抓取答案，图像识别答案，抓取分类，导入数据库(A question bank crawler, including grabbing test questions, grabbing answers, image recognition answers, grabbing classification, importing into the database)

该压缩文件是《深度学习之Tensorflow的入门、原理及进阶实战》，里面讲述了如何搭建TensorFlow环境，并讲述了深度学习的一些理论基础知识，而且通过例子进行辅助，能更好的理解掌握。(The compressed file is "Introduction, Principle and Advanced Combat of Tensorflow for Deep Learning", which describes how to set up the TensorFlow environment, and describes some theoretical basic knowledge of deep learning, and assists with examples to better understand .)

PCL是一个类似于OpenCV的开源库，提供了很多三维点云的处理功能，其中就包括点云拼接。在三维扫描项目中，需要利用点云拼接方法将多次扫描得到的点云数据拼合成一个整体。在本例中，用一幅包含人脸的深度图像去匹配之前获得的人脸模板，这将使我们能够确定人脸在场景中的位置和方向。(PCL is an open source library similar to OpenCV, which provides a lot of processing functions for three-dimensional point clouds, including point cloud mosaic. In the three-dimensional scanning project, it is necessary to use point cloud mosaic method to combine the point cloud data obtained from multiple scans into a whole. In this example, a depth image containing face is used to match the face template obtained before, which will enable us to determine the position and direction of the face in the scene.)