Module params

this module provides the ModelParamsBase type and its associated aliases. The implementation focuses on providing a generic container for the parameters of a neural network.

Structs

ModelParamsBase

The ModelParamsBase object is a generic container for storing the parameters of a neural network, regardless of the layout (e.g. shallow or deep). This is made possible through the introduction of a generic hidden layer type, H, that allows us to define aliases and additional traits for contraining the hidden layer type. That being said, we don’t reccoment using this type directly, but rather use the provided type aliases such as [DeepModelParams] or [ShallowModelParams] or their owned variants. These provide a much more straighforward interface for typing the parameters of a neural network. We aren’t too worried about the transmutation between the two since users desiring this ability should simply stick with a deep representation, initializing only a single layer within the respective container.

Type Aliases

DeepModelParams

a type alias for an owned representation of the DeepParamsBase generic of type A and the dimension D.

DeepParamsBase

a type alias for a deep representation of the ModelParamsBase using a vector of parameters as the hidden layers.

ModelParams

A type alias for an owned representation of the ModelParamsBase generic of type A and the dimension D.

ShallowModelParams

a type alias for an owned representation of the DeepParamsBase generic of type A and the dimension D.

ShallowParamsBase

a type alias for a shallow representation of the ModelParamsBase using a single ParamsBase instance as the hidden layer.