MLP

Namespace: Models

A neural network (multi-layer perceptron) of multiple NeuralLayers and one LossLayer on top.

Nested types and modules

Function or value	Description
`loss pars input target` Signature: pars:Pars<'?176151> -> input:ExprT -> target:ExprT -> ExprT Type parameters: '?176151	Returns an expression for the loss of the neural network with parameters `pars` given the input `input` and target values `target`.
`pars mb hp` Signature: mb:ModelBuilder<'T> -> hp:HyperPars -> Pars<'T> Type parameters: 'T	Creates the parameters for the neural network in the supplied model builder `mb` using the hyper-parameters `hp`. See `NeuralLayer.pars` for documentation about the initialization.
`pred pars input` Signature: pars:Pars<'T> -> input:ExprT -> ExprT Type parameters: 'T	Returns an expression for the output (predictions) of the neural network with parameters `pars` given the input `input`.
`regualrizationTerm pars input` Signature: pars:Pars<'?176153> -> input:ExprT -> ExprT Type parameters: '?176153	Calculates sum of all regularization terms of this model.