Searched refs:multi_class_labels (Results 1 – 2 of 2) sorted by relevance
| /external/tensorflow/tensorflow/python/ops/losses/ |
| D | losses_impl.py | 659 multi_class_labels, logits, weights=1.0, label_smoothing=0, scope=None, argument
701 if multi_class_labels is None:
706 (logits, multi_class_labels, weights)) as scope:
708 multi_class_labels = math_ops.cast(multi_class_labels, logits.dtype)
709 logits.get_shape().assert_is_compatible_with(multi_class_labels.get_shape())
712 multi_class_labels = (multi_class_labels * (1 - label_smoothing) +
715 losses = nn.sigmoid_cross_entropy_with_logits(labels=multi_class_labels,
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| /external/tensorflow/tensorflow/tools/api/golden/v1/ |
| D | tensorflow.losses.pbtxt | 61 …argspec: "args=[\'multi_class_labels\', \'logits\', \'weights\', \'label_smoothing\', \'scope\', \…
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