def weightVariable(shape,std=1.0,name=None):
# Create a set of weights initialized with truncated normal random values
name = 'weights' if name is None else name
return tf.get_variable(name,shape,initializer=tf.truncated_normal_initializer(stddev=std/math.sqrt(shape[0])))
TensorFlowInterface.py 文件源码
python
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