def get_config(self): config = super().get_config() config.update({ "num_layers": hyperparameters.serialize(self.num_layers), "num_units": hyperparameters.serialize(self.num_units), "use_batchnorm": self.use_batchnorm, "dropout": self.dropout, }) return config
def get_config(self): config = super().get_config() config.update({ "return_sequences": self.return_sequences, "bidirectional": hyperparameters.serialize(self.bidirectional), "num_layers": hyperparameters.serialize(self.num_layers), "layer_type": hyperparameters.serialize(self.layer_type), }) return config
def get_config(self): config = super().get_config() config.update({ "max_features": self.max_features, "pretraining": hyperparameters.serialize(self.pretraining), "embedding_dim": hyperparameters.serialize(self.embedding_dim), "dropout": hyperparameters.serialize(self.dropout), }) return config
def get_config(self): config = super().get_config() config.update({ "max_sequence_length": hyperparameters.serialize(self.max_sequence_length) }) return config
def get_config(self): config = super().get_config() config.update({ "kernel_size": hyperparameters.serialize(self.kernel_size), "num_blocks": hyperparameters.serialize(self.num_blocks), "num_layers": hyperparameters.serialize(self.num_layers), "filters": hyperparameters.serialize(self.filters), "max_pooling": self.max_pooling, "separable": self.separable, "dropout": self.dropout, }) return config