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
