crf_decode_backward: CRF decode backward
In EagerAI/tfaddons: Interface to 'TensorFlow SIG Addons'
crf_decode_backward R Documentation
CRF decode backward
Description
Computes backward decoding in a linear-chain CRF.
Usage
crf_decode_backward(inputs, state)
Arguments
inputs
A [batch_size, num_tags] matrix of backpointer of next step (in time order).
state
A [batch_size, 1] matrix of tag index of next step.
Value
new_tags: A [batch_size, num_tags] tensor containing the new tag indices.
EagerAI/tfaddons documentation built on April 3, 2022, 11:42 p.m.
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| crf_decode_backward | R Documentation |
CRF decode backward
Description
Computes backward decoding in a linear-chain CRF.
Usage
crf_decode_backward(inputs, state)
Arguments
inputs |
A [batch_size, num_tags] matrix of backpointer of next step (in time order). |
state |
A [batch_size, 1] matrix of tag index of next step. |
Value
new_tags: A [batch_size, num_tags] tensor containing the new tag indices.
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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