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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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