tf.keras.losses.CTC | TensorFlow v2.16.1 (original) (raw)
CTC (Connectionist Temporal Classification) loss.
Inherits From: Loss
tf.keras.losses.CTC(
reduction='sum_over_batch_size', name='ctc'
)
| Args | |
|---|---|
| y_true | A tensor of shape (batch_size, target_max_length) containing the true labels in integer format. 0 always represents the blank/mask index and should not be used for classes. |
| y_pred | A tensor of shape (batch_size, output_max_length, num_classes)containing logits (the output of your model). They should not be normalized via softmax. |
Methods
call
call(
y_true, y_pred
)
from_config
@classmethod
from_config( config )
get_config
get_config()
__call__
__call__(
y_true, y_pred, sample_weight=None
)
Call self as a function.
Except as otherwise noted, the content of this page is licensed under the Creative Commons Attribution 4.0 License, and code samples are licensed under the Apache 2.0 License. For details, see the Google Developers Site Policies. Java is a registered trademark of Oracle and/or its affiliates. Some content is licensed under the numpy license.
Last updated 2024-06-07 UTC.