tf.keras.ops.ctc_loss
Stay organized with collections
Save and categorize content based on your preferences.
CTC (Connectionist Temporal Classification) loss.
tf.keras.ops.ctc_loss(
target, output, target_length, output_length, mask_index=0
)
target
|
A tensor of shape (batch_size, max_length) containing
the true labels in integer format.
|
output
|
A tensor of shape (batch_size, max_length, num_classes)
containing logits (the output of your model).
|
target_length
|
A tensor of shape (batch_size,) containing the
true label lengths.
|
output_length
|
A tensor of shape (batch_size,) containing the
output lengths.
|
mask_index
|
The index of the mask character in the vocabulary.
Defaults to 0.
|
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.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Missing the information I need","missingTheInformationINeed","thumb-down"],["Too complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2024-06-07 UTC."],[],[]]
View source on GitHub