# 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.