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)
来源: http://www.bubuko.com/infodetail-2735669.html