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  1. RELEASE.md

            custom estimator with optimizer v2, you have to scale losses. We have
            new utilities to help scale losses `tf.nn.compute_average_loss`,
            `tf.nn.scale_regularization_loss`.
    
    *   `tf.keras`:
    
        *   Premade models (including Linear and WideDeep) have been introduced for
            the purpose of replacing Premade estimators.
        *   Model saving changes
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