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Creates a cross-entropy loss using tf.nn.sigmoid_cross_entropy_with_logits. (deprecated)



new_multiclass_labels = multiclass_labels * (1 - label_smoothing)

                        + 0.5 * label_smoothing

logits [batch_size, num_classes] logits outputs of the network .
multi_class_labels [batch_size, num_classes] labels in (0, 1).
weights Coefficients for the loss. The tensor must be a scalar, a tensor of shape [batch_size] or shape [batch_size, num_classes].
label_smoothing If greater than 0 then smooth the labels.
scope The scope for the operations performed in computing the loss.

A scalar Tensor representing the loss value.
