Python keras.initializers.Initializer() Examples

The following are 3 code examples of keras.initializers.Initializer(). You can vote up the ones you like or vote down the ones you don't like, and go to the original project or source file by following the links above each example. You may also want to check out all available functions/classes of the module keras.initializers , or try the search function .
Example #1
Source File: initializers.py    From faceswap with GNU General Public License v3.0 5 votes vote down vote up 
def get_config(self):
        """ Return the ICNR Initializer configuration.

        Returns
        -------
        dict
            The configuration for ICNR Initialization
        """
        config = {"scale": self.scale,
                  "initializer": self.initializer
                  }
        base_config = super(ICNR, self).get_config()
        return dict(list(base_config.items()) + list(config.items()))
Example #2
Source File: initializers.py    From faceswap with GNU General Public License v3.0 5 votes vote down vote up 
def get_config(self):
        """ Return the Convolutional Aware Initializer configuration.

        Returns
        -------
        dict
            The configuration for ICNR Initialization
        """
        return {
            "eps_std": self.eps_std,
            "seed": self.seed
        }


# Update initializers into Keras custom objects
Example #3
Source File: protocol_core.py    From hyperparameter_hunter with MIT License 5 votes vote down vote up 
def set_dimensions(self):
        """Locate given hyperparameters that are `space` choice declarations and add them to
        :attr:`dimensions`"""
        all_dimension_choices = []

        #################### Remap Extra Objects ####################
        if self.module_name == "keras":
            from keras.initializers import Initializer as KerasInitializer
            from keras.callbacks import Callback as KerasCB

            self.init_iter_attrs.append(lambda _p, _k, _v: isinstance(_v, KerasInitializer))
            self.extra_iter_attrs.append(lambda _p, _k, _v: isinstance(_v, KerasCB))

        #################### Collect Choice Dimensions ####################
        init_dim_choices = get_choice_dimensions(self.model_init_params, self.init_iter_attrs)
        extra_dim_choices = get_choice_dimensions(self.model_extra_params, self.extra_iter_attrs)
        fe_dim_choices = get_choice_dimensions(self.feature_engineer, self.fe_iter_attrs)

        for (path, choice) in init_dim_choices:
            choice._name = ("model_init_params",) + path
            all_dimension_choices.append(choice)

        for (path, choice) in extra_dim_choices:
            choice._name = ("model_extra_params",) + path
            all_dimension_choices.append(choice)

        for (path, choice) in fe_dim_choices:
            choice._name = ("feature_engineer",) + path
            all_dimension_choices.append(choice)

        self.dimensions = all_dimension_choices

        if self.module_name == "keras":
            self.model_extra_params = link_choice_ids(
                self.dummy_layers,
                self.dummy_compile_params,
                self.model_extra_params,
                self.dimensions,
            )