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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 l2_regression_loss(y, target, name=None):
 """Calculates the square root of the SSE between y and target. Args: y: the calculated values. target: the desired values. name: the name for this op, defaults to l2_regression Returns: A tensorflow op. """

  with tf.name_scope(name, 'l2_regression', [y, target]) as scope:
    y = tf.convert_to_tensor(y, name='y')
    target = tf.convert_to_tensor(target, name='target')
    return tf.sqrt(l2_regression_sq_loss(y, target, name=scope))