loss_lifted_struct: Lifted structured loss
In tfaddons: Interface to 'TensorFlow SIG Addons'
Description
Usage
Arguments
Details
Value
Description
Computes the lifted structured loss.
Usage
1
loss_lifted_struct(margin = 1, name = NULL, ...)
Arguments
margin
Float, margin term in the loss definition.
name
Optional name for the op.
...
additional parameters to pass
Details
The loss encourages the positive distances (between a pair of embeddings
with the same labels) to be smaller than any negative distances (between a pair of
embeddings with different labels) in the mini-batch in a way that is differentiable
with respect to the embedding vectors. See: https://arxiv.org/abs/1511.06452
Value
lifted_loss: tf$float32 scalar.
tfaddons documentation built on July 2, 2020, 2:12 a.m.
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Description Usage Arguments Details Value
Description
Computes the lifted structured loss.
Usage
1 | loss_lifted_struct(margin = 1, name = NULL, ...)
|
Arguments
margin |
Float, margin term in the loss definition. |
name |
Optional name for the op. |
... |
additional parameters to pass |
Details
The loss encourages the positive distances (between a pair of embeddings with the same labels) to be smaller than any negative distances (between a pair of embeddings with different labels) in the mini-batch in a way that is differentiable with respect to the embedding vectors. See: https://arxiv.org/abs/1511.06452
Value
lifted_loss: tf$float32 scalar.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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