python脚本写作的tensorflow算法模拟器，对于初学者可以练习学习

说明：  烟花算法python版本，分享给需要的同学们(Fireworks Algorithn python)

说明：  基于欧拉距离的KNN分类器，可自行调节map和预测点的位置。运行时首先显示分布散点图，之后输出预测值(Here is a KNN classifier based on Euler distance with self-adjusting map and prediction point positions. The distribution scatter will plot displayed map at first, then show the predicted value.)

实现两幅bmp图像相减得到最终图像并显示(Realize two BMP image subtraction, get the final image and display)

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.)

笨办法学Python3， 通过50道简单题目来上手Python，炒鸡适合初学者（全英文，不过难词较少，过了4级就可以看）(LEARN PYTHON 3 THE HARD WAY__ A Very Simple Introduction To The Terrifyingly Beautiful World Of computers And Code, Third Edition by Zed A. Shaw)

python document installation guide

说明：  2010CB945500-组织干细胞识别、谱系重编程和示踪研究——相关学习资料，仅供个人学习参考，禁止用于商业目的(2010 CB945500 - Tissue Stem Cell Recognition, Genealogical Reprogramming and Tracer Research - Relevant Learning Materials for Individual Learning Reference only, Banned for Commercial Purpose)

说明：  利用xgboost对多变量结果进行预测分析的学习，建立模型(Using xgboost to study the prediction and analysis of multivariate results and build a model)

to use it coding,like notepad,editplus,code!

说明：  VGG16的猫狗大战代码，效果不错，精度可以达到95%以上。(Vgg16 cat and dog battle code, good effect, accuracy can reach more than 95%.)