k_ctc_decode: Decodes the output of a softmax.
In dfalbel/keras: R Interface to 'Keras'

Description Usage Arguments Value Keras Backend

Can use either greedy search (also known as best path) or a constrained dictionary search.

k_ctc_decode(
  y_pred,
  input_length,
  greedy = TRUE,
  beam_width = 100L,
  top_paths = 1
)

`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.

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.

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.

dfalbel/keras documentation built on Nov. 27, 2019, 8:16 p.m.