我开始学习机器学习，并接触到了神经网络。在实现一个程序时，我遇到了这个错误。我尝试了所有可能的解决方案，但没有成功。以下是我的代码：

from numpy import exp, array, random, dotclass neural_network:    def _init_(self):        random.seed(1)        self.weights = 2 * random.random((2, 1)) - 1    def train(self, inputs, outputs, num):        for iteration in range(num):            output = self.think(inputs)            error = outputs - output            adjustment = 0.01*dot(inputs.T, error)            self.weights += adjustment    def think(self, inputs):        return (dot(inputs, self.weights))neural = neural_network()# The training setinputs = array([[2, 3], [1, 1], [5, 2], [12, 3]])outputs = array([[10, 4, 14, 30]]).T# Training the neural network using the training set.neural.train(inputs, outputs, 10000)# Ask the neural network the outputprint(neural.think(array([15, 2])))

当运行neural.train时，我得到了以下错误：

Traceback (most recent call last):File "neural.py", line 27, in <module>    neural.train(inputs, outputs, 10000)File "neural.py", line 10, in train    output = self.think(inputs)File "neural.py", line 16, in think    return (dot(inputs, self.weights))AttributeError: 'neural_network' object has no attribute 'weights'

尽管它确实有self.weights这个属性，但它仍然说没有这个属性。

回答：

原来，你的初始化方法应该命名为__init__（两个下划线），而不是_init_…

因此，将方法改为

def __init__(self):    random.seed(1)    self.weights = 2 * random.random((2, 1)) - 1

你的代码就能正常工作了：

neural.train(inputs, outputs, 10000)print(neural.think(array([15, 2])))# [ 34.]