(weight_decay=0.004)
Defines the default cifarnet argument scope.

  Args:
    weight_decay: The weight decay to use for regularizing the model.

  Returns:
    An `arg_scope` to use for the inception v3 model.
Defines the default cifarnet argument scope.
Defines the default cifarnet argument scope .
def cifarnet_arg_scope(weight_decay=0.004):
  """Defines the default cifarnet argument scope.

  Args:
    weight_decay: The weight decay to use for regularizing the model.

  Returns:
    An `arg_scope` to use for the inception v3 model.
  """
  with slim.arg_scope(
      [slim.conv2d],
      weights_initializer=tf.truncated_normal_initializer(stddev=5e-2),
      activation_fn=tf.nn.relu):
    with slim.arg_scope(
        [slim.fully_connected],
        biases_initializer=tf.constant_initializer(0.1),
        weights_initializer=trunc_normal(0.04),
        weights_regularizer=slim.l2_regularizer(weight_decay),
        activation_fn=tf.nn.relu) as sc:
      return sc
def cifarnet_arg_scope ( weight_decay = 0.004 ) : with slim . arg_scope ( [ slim . conv2d ] , weights_initializer = tf . truncated_normal_initializer ( stddev = 5e-2 ) , activation_fn = tf . nn . relu ) : with slim . arg_scope ( [ slim . fully_connected ] , biases_initializer = tf . constant_initializer ( 0.1 ) , weights_initializer = trunc_normal ( 0.04 ) , weights_regularizer = slim . l2_regularizer ( weight_decay ) , activation_fn = tf . nn . relu ) as sc : return sc