import tensorflow as tf
def add_layer(inputs,in_size,out_size,activation_function=None):
Weights = tf.Variable(tf.random_normal([in_size,out_size]))
biases = tf.Variable(tf.zeros([1,out_size])+0.1)
Wx_plus_b = tf.matmul(inputs,Weights)+biases
if activation_function is None:
outputs = Wx_plus_b
else:
outputs = activation_function ( Wx_plus_b)
return outputs
[展开全文]