tf.keras.backend.ctc_decode( y_pred, input_length, greedy=True, beam_width=100, top_paths=1 )
Defined in tensorflow/python/keras/_impl/keras/backend.py
.
Decodes the output of a softmax.
Can use either greedy search (also known as best path) or a constrained dictionary search.
y_pred
: tensor (samples, time_steps, num_categories)
containing the prediction, or output of the softmax.input_length
: tensor (samples, )
containing the sequence length for each batch item in y_pred
.greedy
: perform much faster best-path search if true
. This does not use a dictionary.beam_width
: if greedy
is false
: a beam search decoder will be used with a beam of this width.top_paths
: if greedy
is false
, how many of the most probable paths will be returned.Tuple
: List: if greedy
is true
, returns a list of one element that contains the decoded sequence. If false
, returns the top_paths
most probable decoded sequences. Important: blank labels are returned as -1
. Tensor (top_paths, )
that contains the log probability of each decoded sequence.
© 2018 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/api_docs/python/tf/keras/backend/ctc_decode