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说明：  autoencoder是一种无监督的学习算法，主要用于数据的降维或者特征的抽取，在深度学习中，autoencoder可用于在训练阶段开始前，确定权重矩阵的初始值。(Autoencoder is an unsupervised learning algorithm, which is mainly used for dimensionalization reduction or feature extraction of data. In deep learning, autoencoder can be used to determine the initial value of weight matrix before the training stage.)

说明：  徐涵秋教授提出的遥感生态指数实现PYTHON代码 主要针对Landsat ETM数据实现的四种指标： 绿度 干度 湿度 温度 主要源自网络。(ealization of Python code by remote sensing ecological index proposed by Professor Xu Hanqiu This paper mainly aims at the four indicators of Landsat ETM data: Greenness Dryness humidity temperature Mainly from the network.)

说明：  gurobi python optimization programing

分类器的性能比较与调优: 使用scikit-learn 包中的tree，贝叶斯，knn，对数据进行模型训练，尽量了解其原理及运用。 使用不同分析三种分类器在实验中的性能比较，分析它们的特点。 本实验采用的数据集为house与segment。(Performance comparison and optimization of classifiers: We use tree, Bayesian and KNN in scikit-learnpackage to train the data model and try to understand its principle and application. The performances of three classifiers are compared and their characteristics are analyzed. The data set used in this experiment is house and segment.)

简单的CNN对花进行分类,里面含有数据和代码(Using CNN to classify the flower,which include data and code.)

python爬虫完整课件详细教程

一些常见算法实现和牛客网以及leetcode刷题(Some Common Algorithms Implementing and Title Brushing)

说明：  人脸识别中需要的resnet网络模型，用于处理人脸数据(RESNET network model for face recognition, which is used to process face data)

基于openCV的手势识别。用于KINECT的简单手势识别。(OpenCV-based gesture recognition)

说明：  基于LSTM的时间序列预测-原理-python代码(Prediction of time series based on LSTM - principles -python code)