python 神经网络编程

根据《python 神经网络编程》（【英】塔里克.拉希德 tariq r中国工信出版社，人民邮电出版社）进行了初步实践，发现该书是入门的不二之选。

环境：

1、IDE：sublime_txt，配合python的相关插件

2、编译运行环境，推荐使用virtualenv沙盒环境

程序

# neural network class definition
import numpy
import scipy.special
import matplotlib.pyplot as plt


class NeuralNetwork:

    # initialise the neural network
    def __init__(self, inputnodes, hiddennodes, outputnodes, learningrate):
        # set number of nodes in each input,hidden,output layer
        self.inodes = inputnodes
        self.hnodes = hiddennodes
        self.onodes = outputnodes

        # link weight matrices , wih and who
        # weights inside the arrays w_i_j, where link is from node i to node j in the next layer
        self.wih = numpy.random.normal(
            0.0, pow(self.hnodes, -0.5), (self.hnodes, self.inodes))
        self.who = numpy.random.normal(