()
return cb.Serial(_BinaryCrossEntropy(),
                   _WeightedMean(),
                   name='BinaryCrossEntropyLoss',
                   sublayers_to_print=[])
Returns a layer that outputs binary prediction-target cross-entropy.

  DEPRECATED; refactor to use ``BinaryCrossEntropy`` instead. (The newer
  ``BinaryCrossEntropy`` does not use weights, so refactor accordingly. Unless
  and until clear motivating use cases arise, the library will not include a
  binary cross-entropy function with weights.)
Returns a layer that outputs binary prediction-target cross-entropy.
Returns a layer that outputs binary prediction - target cross - entropy .
def BinaryCrossEntropyLoss():
  """Returns a layer that outputs binary prediction-target cross-entropy.

  DEPRECATED; refactor to use ``BinaryCrossEntropy`` instead. (The newer
  ``BinaryCrossEntropy`` does not use weights, so refactor accordingly. Unless
  and until clear motivating use cases arise, the library will not include a
  binary cross-entropy function with weights.)
  """
  return cb.Serial(_BinaryCrossEntropy(),
                   _WeightedMean(),
                   name='BinaryCrossEntropyLoss',
                   sublayers_to_print=[])
def BinaryCrossEntropyLoss ( ) : return cb . Serial ( _BinaryCrossEntropy ( ) , _WeightedMean ( ) , name = 'BinaryCrossEntropyLoss' , sublayers_to_print = [ ] )