qq_38191717的博客

import numpy as npimport matplotlib.pyplot as pltimport osimport operatordef img2vector(filename): returnVect=np.zeros((1,1024)) f=open(filename,'r') for i in range(32): lineS...

import numpy as npimport mathimport operatordef calcShannonEnt(dataSet): numEntries=len(dataSet) labelCounts={} for data in dataSet: currentLabel=data[-1] if currentLab...

import numpy as npfrom scipy.io import loadmatdef sigmoid(z): z=np.matrix(z) return 1/(1+np.exp(-z))def predict(theta1,theta2,x): #theta1:25*401 输入层多一个偏置项 #theta2:10*26 隐藏层多一个偏置项...

import numpy as npimport mathimport operatordef calcShannonEnt(dataSet): numEntries=len(dataSet) labelCounts={} for data in dataSet: currentLabel=data[-1] if currentLab...