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"stopwords": ["a", "aínda", "alí", "aquel", "aquela", "aquelas", "aqueles", "aquilo", "aquí", "ao", "aos", "as", "así", "á", "ben", "cando", "che", "co", "coa", "comigo", "con", "connosco", "contigo", "convosco", "coas", "cos", "cun", "cuns", "cunha", "cunhas", "da", "dalgunha", "dalgunhas", "dalgún", "dalgúns", "das", "de", "del", "dela", "delas", "deles", "desde", "deste", "do", "dos", "dun", "duns", "dunha", "dunhas", "e", "el", "ela", "elas", "eles", "en", "era", "eran", "esa", "esas", "ese", "eses",...

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*   `tf.experimental.StructuredTensor`

    *   Introduced `tf.experimental.StructuredTensor`, which provides a flexible
        and Tensorflow-native way to encode structured data such as protocol
        buffers or pandas dataframes.

*   `tf.keras`:

    *   Added method `get_metrics_result()` to `tf.keras.models.Model`.
        *   Returns the current metrics values of the model as a dict.