Runs CTC loss algorithm on each batch element.

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.