spoofnet_y.py 文件源码

def spoofnet_y_arg_scope(weight_decay=0.0004):
  """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), #TODO: or: weights_initializer=slim.variance_scaling_initializer(), as inception/vgg/resnet
      # weights_regularizer=slim.l2_regularizer(weight_decay),
      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):
    with slim.arg_scope([slim.max_pool2d], padding='SAME') as sc:
      return sc