(output, target, offset=1e-10)
return -tf.reduce_sum(target * tf.log(output_)
                          + (1 - target) * tf.log(1 - output_), 1)
Compute the binary cross-entropy per sample.

    Add offset to avoid evaluation of log(0.0).
Compute the binary cross-entropy per sample.
Compute the binary cross - entropy per sample .
def binary_crossentropy(output, target, offset=1e-10):
    """Compute the binary cross-entropy per sample.

    Add offset to avoid evaluation of log(0.0).
    """
    output_ = tf.clip_by_value(output, offset, 1 - offset)
    return -tf.reduce_sum(target * tf.log(output_)
                          + (1 - target) * tf.log(1 - output_), 1)
def binary_crossentropy ( output , target , offset = 1e-10 ) : output_ = tf . clip_by_value ( output , offset , 1 - offset ) return - tf . reduce_sum ( target * tf . log ( output_ ) + ( 1 - target ) * tf . log ( 1 - output_ ) , 1 )