BP神经网络 -- 详细教程

最新推荐文章于 2025-05-20 09:41:09 发布

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最新推荐文章于 2025-05-20 09:41:09 发布 · 1.5k 阅读

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学习bp神经网络详细教程 http://blog.youkuaiyun.com/accumulate_zhang/article/details/53265766

两层神经网络

import numpy as np


# sigmoid function
def nonlin(x,deriv=False):
	if(deriv==True):
		return x*(1-x)
	return 1/(1+np.exp(-x))
	
# input dataset
X=np.array([[0,0,1],
						[0,1,1],
						[1,0,1],
						[1,1,1]])
						
# output dataset
y=np.array([[0,1,1,0]]).T

# seed random numbers to make calculation deterministic (just a good practice)
np.random.seed(1)

# initialize weights randomly with mean 0
syn0=2*np.rand