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  • References
  • Big Data
  • TensorFlow
  • TensorFlow Python
  • CRF

tf.contrib.crf.CrfForwardRnnCell.__init__()

tf.contrib.crf.CrfForwardRnnCell.__init__(transition_params)

Initialize the CrfForwardRnnCell.

Args:
  • transition_params: A [num_tags, num_tags] matrix of binary potentials. This matrix is expanded into a [1, num_tags, num_tags] in preparation for the broadcast summation occurring within the cell.
Links:
  • https://www.tensorflow.org/versions/master/api_docs/python/contrib.crf.html#CrfForwardRnnCell.__init__
doc_TensorFlow
doc_TensorFlow
2025-01-10 15:47:30
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tf.contrib.crf.CrfForwardRnnCell class tf.contrib.crf.CrfForwardRnnCell Computes the alpha values in a linear-chain CRF. See http://www.cs.columbia.edu/~mcollins/fb.pdf for referenc
tf.contrib.crf.CrfForwardRnnCell.__call__() tf.contrib.crf.CrfForwardRnnCell.__call__(inputs, state, scope=None) Build the CrfForwardRnnCell. Args: inputs: A [batch_size, num_tags] matrix of
tf.contrib.crf.CrfForwardRnnCell.zero_state() tf.contrib.crf.CrfForwardRnnCell.zero_state(batch_size, dtype) Return zero-filled state tensor(s). Args: batch_size: int, float, or unit Tensor rep
tf.contrib.crf.CrfForwardRnnCell.state_size tf.contrib.crf.CrfForwardRnnCell.state_size
tf.contrib.crf.CrfForwardRnnCell.output_size tf.contrib.crf.CrfForwardRnnCell.output_size


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