Runs CTC loss algorithm on each batch element.
k_ctc_batch_cost(y_true, y_pred, input_length, label_length)
Tensor with shape (samples,1) containing the CTC loss of each element.
tensor (samples, max_string_length)
containing the truth
labels.
tensor (samples, time_steps, num_categories)
containing the
prediction, or output of the softmax.
tensor (samples, 1)
containing the sequence length for
each batch item in y_pred
.
tensor (samples, 1)
containing the sequence length for
each batch item in y_true
.
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://tensorflow.rstudio.com/reference/keras/index.html#backend.