无限未来

1、使用逻辑回归解决Mnist分类 # -*- coding: utf-8 -*- """ Created on Thu Jun 13 18:13:08 2019 @author: 无限未来 """ import tensorflow as tf import numpy as np import scipy.io as scio import random import matplot...

# -*- coding: utf-8 -*- import tensorflow as tf import numpy as np import matplotlib.pyplot as plt plotdata = { "batchsize":[], "loss":[] } def moving_average(a, w=10): if len(a) < w: ...

1、逻辑回归 tips: 源数据需要进行归一化（我这里直接/100，因为原始数据范围为0-100） 更换了优化方法，需要一定的训练次数，不然一定几率出现欠拟合 # -*- coding: utf-8 -*- """ Created on Mon Jun 10 20:04:03 2019 @author: 无限未来 """ import tensorflow as tf import n...

1、线性SVM，检查C对分界线的影响 # -*- coding: utf-8 -*- """ Created on Fri Jun 21 16:05:25 2019 @author: 无限未来 """ import tensorflow as tf import numpy as np import matplotlib.pyplot as plt from scipy.io import...

1、简单kmean import numpy as np import matplotlib.pyplot as plt from scipy.io import loadmat from ex71_find import findClosestCentroids from ex71_compute import computeClosestCentroids data = loadmat...