(classifier=core.ArgMax())
return cb.Serial(classifier,
                   _Accuracy(),
                   _WeightedSequenceMean(),
                   name='SequenceAccuracy',
                   sublayers_to_print=[])
Returns a layer that computes mean sequence prediction accuracy.

  DEPRECATED; use ``MaskedSequenceAccuracy`` instead.

  Args:
    classifier: Layer that transforms activation vectors into category
        predictions.
Returns a layer that computes mean sequence prediction accuracy.
Returns a layer that computes mean sequence prediction accuracy .
def SequenceAccuracy(classifier=core.ArgMax()):
  """Returns a layer that computes mean sequence prediction accuracy.

  DEPRECATED; use ``MaskedSequenceAccuracy`` instead.

  Args:
    classifier: Layer that transforms activation vectors into category
        predictions.
  """
  return cb.Serial(classifier,
                   _Accuracy(),
                   _WeightedSequenceMean(),
                   name='SequenceAccuracy',
                   sublayers_to_print=[])
def SequenceAccuracy ( classifier = core . ArgMax ( ) ) : return cb . Serial ( classifier , _Accuracy ( ) , _WeightedSequenceMean ( ) , name = 'SequenceAccuracy' , sublayers_to_print = [ ] )