AlexNet

说明：  机器视觉，行人识别，hog特征提取的python语言实现(Machine vision, pedestrian recognition, hog feature extraction)

说明：  利用Python人工智能实现的人脸检测功能(Face Detection Using Python Artificial Intelligence)

说明：  李宏毅老师机器学习视频代码，这是第五段，用python编写(Li Hongyi teacher video code)

说明：  complete pyemd examples

由于Relief算法比较简单，运行效率高，并且结果也比较令人满意，因此得到广泛应用，但是其局限性在于只能处理两类别数据，因此1994年Kononeill对其进行了扩展，得到了ReliefF作算法，可以处理多类别问题。该算法用于处理目标属性为连续值的回归问题。(Because Relief algorithm is relatively simple, high efficiency, and the results are more satisfactory, so widely used, but its limitation is that only two types of data can be processed, so Kononeill in 1994 to expand it, get ReliefF algorithm , Can handle multiple categories of problems. The algorithm is used to deal with the regression problem that the target attribute is a continuous value.)

说明：  VAE程序复现，速度快，清晰准确，mnist手写数据集和(VAE program replay, fast, clear and accurate, mnist handwritten data set and)

说明：  这是一个用python进行ARIMA预测的一个程序，希望能给各位带来帮助。(This is a python for ARIMA prediction of a program, I hope you can help.)

【实例简介】

用Python语言写的多目标进化算法库（2017年最新版本），包含常见的多目标进化算法以及当前最新文献中的最新算法，能够实现不同算法之间的性能比较（包含常见的GD, IGD, HV等评价指标自动生成）。可以供进化计算、多目标优化、单目标优化算法的学习参考。Python语言版本简单易懂，实用性强。(Library of multi-objective evolutionary algorithm written in Python language (the latest version in 2017), including multi-objective evolutionary algorithm and the most common new literature in the new algorithm, can realize the performance between different methods (including the common GD, IGD, HV and other evaluation index generation). It can be used as a reference for evolutionary computation, multi-objective optimization and single objective optimization. Python language version is simple and easy to understand, practical.)

说明：  深度学习，LSTM股票预测，python代码(Deep Learning, LSTM Stock Forecasting, Pthon Code)