k_ctc_decode: Decodes the output of a softmax.

In keras: R Interface to 'Keras'

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

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.

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.

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://tensorflow.rstudio.com/reference/keras/index.html#backend.

keras documentation built on May 29, 2024, 3:20 a.m.