multicnet.py
def bias_variable(self, shape, value = 0.01):
        """
        Initialize ReLU neurons with slight positive initial
        bias to avoid dead neurons
        """
        initial = tf.constant(value, shape=shape)
        return tf.Variable(initial)

        Initialize ReLU neurons with slight positive initial
        bias to avoid dead neurons
        
Initialize ReLU neurons with slight positive initial
bias to avoid dead neurons
Initialize ReLU neurons with slight positive initial bias to avoid dead neurons
def bias_variable(self, shape, value = 0.01):
        initial = tf.constant(value, shape=shape)
        return tf.Variable(initial)
def bias_variable ( self , shape , value = 0.01 ) : initial = tf . constant ( value , shape = shape ) return tf . Variable ( initial )
Initialize ReLU neurons with slight positive initial
bias to avoid dead neurons
Initialize ReLU neurons with slight positive initial bias to avoid dead neurons
"""
        Initialize ReLU neurons with slight positive initial
        bias to avoid dead neurons
        """
self
shape
value