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R
keras

k_ctc_batch_cost

Runs CTC loss algorithm on each batch element.

Description

Runs CTC loss algorithm on each batch element.

Usage

k_ctc_batch_cost(y_true, y_pred, input_length, label_length)

Arguments

y_true

tensor (samples, max_string_length) containing the truth labels.
y_pred

tensor (samples, time_steps, num_categories) containing the prediction, or output of the softmax.
input_length

tensor (samples, 1) containing the sequence length for each batch item in y_pred.
label_length

tensor (samples, 1) containing the sequence length for each batch item in y_true.

Value

Tensor with shape (samples,1) containing the CTC loss of each element.

Keras Backend

This function is part of a set of Keras backend functions that enable lower level access to the core operations of the backend tensor engine (e.g. TensorFlow, CNTK, Theano, etc.).

You can see a list of all available backend functions here: https://keras.rstudio.com/articles/backend.html#backend-functions.

keras

R Interface to 'Keras'

v2.4.0
MIT + file LICENSE
Authors
Daniel Falbel [ctb, cph, cre], JJ Allaire [aut, cph], François Chollet [aut, cph], RStudio [ctb, cph, fnd], Google [ctb, cph, fnd], Yuan Tang [ctb, cph] (<https://orcid.org/0000-0001-5243-233X>), Wouter Van Der Bijl [ctb, cph], Martin Studer [ctb, cph], Sigrid Keydana [ctb]
Initial release

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