tf.contrib.losses.cosine_distance

Adds a cosine-distance loss to the training procedure. (deprecated arguments) (deprecated)

tf.contrib.losses.cosine_distance(
    predictions, labels=None, axis=None, weights=1.0, scope=None, dim=None
)

Note that the function assumes that predictions and labels are already unit-normalized.

Args
`predictions`	An arbitrary matrix.
`labels`	A `Tensor` whose shape matches 'predictions'
`axis`	The dimension along which the cosine distance is computed.
`weights`	Coefficients for the loss a scalar, a tensor of shape [batch_size] or a tensor whose shape matches `predictions`.
`scope`	The scope for the operations performed in computing the loss.
`dim`	The old (deprecated) name for `axis`.

Returns
A scalar `Tensor` representing the loss value.

Raises
`ValueError`	If `predictions` shape doesn't match `labels` shape, or `weights` is `None`.

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Last updated 2020-10-01 UTC.

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