1. 代码如下：
#!/usr/bin/env python
#! _*_ coding:UTF-8 _*_
import numpy as np
import theano.tensor as T
import theano
class Layer(object):
'''
定义一个神经层
'''
def __init__(self, inputs, in_size, out_size, activation_function=None):
'''神经层的初始化方法'''
self.W = theano.shared(np.random.normal(0, 1, (in_size, out_size)))
self.b = theano.shared(np.zeros((out_size, ) + 0.1))
self.Wx_plus_b = T.dot(inputs, self.W) + self.b
self.activation_function = activation_function
# 增加激励函数的处理
if activation_function is None:
self.outputs = self.Wx_plus_b
else:
self.outputs = self.activation_function(self.Wx_plus_b)