贝叶斯网络
source coding
代码语言：javascript
复制# -*- coding:utf-8 -*-
# /usr/bin/python
'''
@Author: Yan Errol @Email:2681506@gmail.com
@Date: 2019-06-03 16:17
@File：Bayesian neural newwork
@Describe:贝叶斯神经网络
@Evn:
'''
import edward as ed
from edward.models import Normal
n_samples = x.shape[0] # number of samples, equal N
n_input = 1 # number of input neurons
for my_num_hidden, my_subplot_num in zip([1, 2, 4, 16], range(1, 5, 1)):
n_hidden = my_num_hidden # number of hidden neurons
print('Fitting curve with {} hidden neurons Bayesian Neural Network'.format(my_num_hidden))
W_0 = Normal(loc=tf.zeros([n_input, n_hidden]), scale=tf.ones([n_input, n_hidden]))
W_1 = Normal(loc=tf.zeros([n_hidden, n_input]), scale=tf.ones([n_hidden, n_input]))
b_0 = Normal(loc=tf.zeros(n_hidden), scale=tf.ones(n_hidd
