contrib.keras.backend.ctc_batch_cost

tf.contrib.keras.backend.ctc_batch_cost

tf.contrib.keras.backend.ctc_batch_cost

ctc_batch_cost(
    y_true,
    y_pred,
    input_length,
    label_length
)

Defined in tensorflow/contrib/keras/python/keras/backend.py.

Runs CTC loss algorithm on each batch element.

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`.

Returns:

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

© 2017 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/api_docs/python/tf/contrib/keras/backend/ctc_batch_cost

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