k_ctc_batch_cost: Runs CTC loss algorithm on each batch element.

In dfalbel/keras: R Interface to 'Keras'

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.

dfalbel/keras documentation built on Nov. 27, 2019, 8:16 p.m.