Python weighted_binary_cross_entropy Examples

Example #1

def weighted_binary_cross_entropy(output, target, weight, name=''):
    r'''
    This operation computes the weighted binary cross entropy (aka logistic loss) between the ``output`` and ``target``.

    Example:
        TBA

    Args:
        output: the computed posterior probability from the network
        target: ground-truth label, 0 or 1
        weight: weight of each example
        name (str, optional): the name of the Function instance in the network
    Returns:
        :class:`~cntk.ops.functions.Function`
    '''
    from cntk.cntk_py import weighted_binary_cross_entropy
    dtype = get_data_type(output, target, weight)
    output = sanitize_input(output, dtype)
    target = sanitize_input(target, dtype)
    weight = sanitize_input(weight, dtype)
    return weighted_binary_cross_entropy(output, target, weight, name)

Example #2

File: __init__.py Project: BorisJineman/CNTK

def weighted_binary_cross_entropy(output, target, weight, name=''):
    r'''
    This operation computes the weighted binary cross entropy (aka logistic loss) between the ``output`` and ``target``.

    Example:
        TBA

    Args:
        output: the computed posterior probability from the network
        target: ground-truth label, 0 or 1
        weight: weight of each example
        name (str, optional): the name of the Function instance in the network
    Returns:
        :class:`~cntk.ops.functions.Function`
    '''
    from cntk.cntk_py import weighted_binary_cross_entropy
    dtype = get_data_type(output, target, weight)
    output = sanitize_input(output, dtype)
    target = sanitize_input(target, dtype)
    weight = sanitize_input(weight, dtype)
    return weighted_binary_cross_entropy(output, target, weight, name)