crf_log_norm

A [batch_size, max_seq_len, num_tags] tensor of unary potentials
to use as input to the CRF layer.

inputs

A [batch_size] vector of true sequence lengths.

sequence_lengths

A [num_tags, num_tags] transition matrix.

transition_params

Computes the normalization for a CRF.

'TensorFlow SIG Addons' <https://www.tensorflow.org/addons> is a repository
of community contributions that conform to well-established API patterns,
but implement new functionality not available in core 'TensorFlow'.
'TensorFlow' natively supports a large number of operators, layers, metrics,
losses, optimizers, and more. However, in a fast moving field like Machine Learning,
there are many interesting new developments that cannot be integrated into
core 'TensorFlow' (because their broad applicability is not yet clear, or
it is mostly used by a smaller subset of the community).

crf_log_norm: CRF log norm

Description

Usage

Arguments

Value