k_ctc_decode
Decodes the output of a softmax.
Description
Can use either greedy search (also known as best path) or a constrained dictionary search.
Usage
k_ctc_decode(
y_pred,
input_length, greedy = TRUE,
beam_width = 100L,
top_paths = 1
)
Arguments
Arguments | Description |
---|---|
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. |
Section
Keras Backend
This function is part of a set of Keras backend functions that enable lower level access to the core operations of the backend tensor engine (e.g. TensorFlow, CNTK, Theano, etc.). You can see a list of all available backend functions here: https://keras.rstudio.com/articles/backend.html#backend-functions.
Value
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.