Python大数据分析文档

用Tensorflow,LSTm网络来预测未来股票的价格,

用PYTHON实现的计算FAHP模糊矩阵哦，全网唯一认证弱智。（为什么会有人去做这么无聊的事情呢。。。）(Using PYTHON to calculate FAHP fuzzy matrix, the whole network is the only authentication of mentally retarded. Why do people do such boring things?)

complete pyemd examples

说明：  GUI_programming_python_tkinter

说明：  用GAN实现样本生成，深度学习框架为TensorFlow(to generate samples)

基于python socket和tkinter界面库实现的网络聊天室程序，实现登录、注册、在线成员显示、聊天等功能

《图解深度学习》是从深度学习的发展历程讲起的，从理论和实践两个方面介绍了深度学习的各种方法，以及深度学习在图像识别等领域的应用案例。内容图文并茂，涉及神经网络、卷积神经网络、受限玻尔兹曼机、自编码器、泛化能力的提高， 并介绍了包括Theano、Pylearn2、Caffe、DIGITS、Chainer 和TensorFlow等深度学习工具的安装和使用方法。书如其名，《图解深度学习》图例非常丰富，清晰直观，适合所有对深度学习感兴趣的读者阅读("Graphic in-depth learning" starts from the development process of in-depth learning. It introduces various methods of in-depth learning from both theoretical and practical aspects, as well as application cases of in-depth learning in image recognition and other fields. The contents are full of pictures and texts, including the improvement of neural network, convolution neural network, restricted Boltzmann machine, self-encoder and generalization ability. The installation and use methods of deep learning tools including Theano, Pylearn2, Caffe, DIGITS, Chainer and TensorFlow are also introduced. As its name implies, the legend of "Graphic in-depth learning" is very rich, clear and intuitive, suitable for all readers interested in in in-depth learning to read.)

集成的代码，可以用各种基础分类器集成，随机抽样本和随机抽特征，或者对样本或特征加权集成(The integrated code can be integrated with various basic classifiers, random samples and random features, or weighted samples or features.)

多元多项式拟合，将两个及两个以上的自变量与因变量你合成一个多项式方程(Multivariate Polynomial Fitting from LioTuoms)

说明：  Kaggle competition final submission score 0.985(Kaggle competition final submission score 0.985 fsaaddaewfew5sadf4asf)