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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def inception_v3_parameters(weight_decay=0.00004, stddev=0.1, batch_norm_decay=0.9997, batch_norm_epsilon=0.001):
 """Yields the scope with the default parameters for inception_v3. Args: weight_decay: the weight decay for weights variables. stddev: standard deviation of the truncated guassian weight distribution. batch_norm_decay: decay for the moving average of batch_norm momentums. batch_norm_epsilon: small float added to variance to avoid dividing by zero. Yields: a arg_scope with the parameters needed for inception_v3. """

  # Set weight_decay for weights in Conv and FC layers.
  with scopes.arg_scope([ops.conv2d, ops.fc],
                        weight_decay=weight_decay):
    # Set stddev, activation and parameters for batch_norm.
    with scopes.arg_scope([ops.conv2d],
                          stddev=stddev,
                          activation=tf.nn.relu,
                          batch_norm_params={
                              'decay': batch_norm_decay,
                              'epsilon': batch_norm_epsilon}) as arg_scope:
      yield arg_scope