brainstorm/layers/binomial_cross_entropy_layer.py
def BinomialCrossEntropy(name=None):
    """Create a Binomial Cross Entropy Layer.

    Calculate the Binomial Cross Entropy between outputs and **binary** targets

    Cross entropy is by definition asymmetric, therefore the inputs are named
    'default' for the network outputs and 'targets' for the binary targets.
    This layer only calculates the deltas for the default inputs.
    Also note that this implementation only works for **binary** targets and
    outputs in the range 0 to 1.
    For outputs outside that range or non-binary targets the result is
    undefined.
    """
    return ConstructionWrapper.create(BinomialCrossEntropyLayerImpl,
                                      name=name)
Create a Binomial Cross Entropy Layer.

    Calculate the Binomial Cross Entropy between outputs and **binary** targets

    Cross entropy is by definition asymmetric, therefore the inputs are named
    'default' for the network outputs and 'targets' for the binary targets.
    This layer only calculates the deltas for the default inputs.
    Also note that this implementation only works for **binary** targets and
    outputs in the range 0 to 1.
    For outputs outside that range or non-binary targets the result is
    undefined.
    
Create a Binomial Cross Entropy Layer.
Calculate the Binomial Cross Entropy between outputs and **binary** targets

Cross entropy is by definition asymmetric, therefore the inputs are named
'default' for the network outputs and 'targets' for the binary targets.
This layer only calculates the deltas for the default inputs.
Also note that this implementation only works for **binary** targets and
outputs in the range 0 to 1.
For outputs outside that range or non-binary targets the result is
undefined.
Create a Binomial Cross Entropy Layer . Calculate the Binomial Cross Entropy between outputs and ** binary ** targets Cross entropy is by definition asymmetric therefore the inputs are named ' default ' for the network outputs and ' targets ' for the binary targets . This layer only calculates the deltas for the default inputs . Also note that this implementation only works for ** binary ** targets and outputs in the range 0 to 1 . For outputs outside that range or non - binary targets the result is undefined .
def BinomialCrossEntropy(name=None):
    return ConstructionWrapper.create(BinomialCrossEntropyLayerImpl,
                                      name=name)
def BinomialCrossEntropy ( name = None ) : return ConstructionWrapper . create ( BinomialCrossEntropyLayerImpl , name = name )
Create a Binomial Cross Entropy Layer.
Create a Binomial Cross Entropy Layer .
"""Create a Binomial Cross Entropy Layer.

    Calculate the Binomial Cross Entropy between outputs and **binary** targets

    Cross entropy is by definition asymmetric, therefore the inputs are named
    'default' for the network outputs and 'targets' for the binary targets.
    This layer only calculates the deltas for the default inputs.
    Also note that this implementation only works for **binary** targets and
    outputs in the range 0 to 1.
    For outputs outside that range or non-binary targets the result is
    undefined.
    """
name