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
| Arguments | Description |
|---|---|
| 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. |
Section
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.
Value
Tensor with shape (samples,1) containing the CTC loss of each element.