tf.keras.backend.ctc_decode

Decodes the output of a softmax.

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

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.

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.