parameters: (mel_values, name=None)
docstring: Converts frequencies in `mel_values` from the mel scale to linear scale.
  
    Args:
      mel_values: A `Tensor` of frequencies in the mel scale.
      name: An optional name for the operation.
  
    Returns:
      A `Tensor` of the same shape and type as `mel_values` containing linear
      scale frequencies in Hertz.
docstring_summary: Converts frequencies in `mel_values` from the mel scale to linear scale.
docstring_tokens: Converts frequencies in mel_values from the mel scale to linear scale .
function: def _mel_to_hertz(mel_values, name=None):
    """Converts frequencies in `mel_values` from the mel scale to linear scale.
  
    Args:
      mel_values: A `Tensor` of frequencies in the mel scale.
      name: An optional name for the operation.
  
    Returns:
      A `Tensor` of the same shape and type as `mel_values` containing linear
      scale frequencies in Hertz.
    """
    with ops.name_scope(name, 'mel_to_hertz', [mel_values]):
      mel_values = ops.convert_to_tensor(mel_values)
      return _MEL_BREAK_FREQUENCY_HERTZ * (
          math_ops.exp(mel_values / _MEL_HIGH_FREQUENCY_Q) - 1.0
      )
function_tokens: def _mel_to_hertz ( mel_values , name = None ) : with ops . name_scope ( name , 'mel_to_hertz' , [ mel_values ] ) : mel_values = ops . convert_to_tensor ( mel_values ) return _MEL_BREAK_FREQUENCY_HERTZ * ( math_ops . exp ( mel_values / _MEL_HIGH_FREQUENCY_Q ) - 1.0 )