tf.keras.backend.ctc_decode

Decodes the output of a softmax.

Compat aliases for migration

See Migration guide for more details.

tf.keras.backend.ctc_decode(
    y_pred, input_length, greedy=True, beam_width=100, top_paths=1
)

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

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.

Returns
`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. Each decoded sequence has shape (samples, time_steps). Important: blank labels are returned as `-1`. Tensor `(top_paths, )` that contains the log probability of each decoded sequence.

Arguments