Decodes the output of a softmax.
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.
Important: blank labels are returned as -1 .
Tensor (top_paths, ) that contains
the log probability of each decoded sequence.
|