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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