NeuralLayer

Namespace: Models

A layer of neurons (perceptrons).

Nested types and modules

Type	Description
HyperPars	Neural layer hyper-parameters.
Pars<'T>	Neural layer parameters.

Functions and values

Function or value	Description
`defaultHyperPars` Signature: HyperPars
`pars mb hp` Signature: mb:ModelBuilder<'?176100> -> hp:HyperPars -> Pars<'?176101> Type parameters: '?176100, '?176101	Creates the parameters for the neural-layer in the supplied model builder `mb` using the hyper-parameters `hp`. The weights are initialized using random numbers from a uniform distribution with support [-r, r] where r = 4 * sqrt (6 / (hp.NInput + hp.NOutput)). The biases are initialized to zero.
`pred pars input` Signature: pars:Pars<'?176103> -> input:ExprT -> ExprT Type parameters: '?176103	Returns an expression for the output (predictions) of the neural layer with parameters `pars` given the input `input`. If the soft-max transfer function is used, the normalization is performed over axis 0.
`regularizationTerm pars` Signature: pars:Pars<'?176105> -> ExprT Type parameters: '?176105	Calculates sum of all regularization terms of this layer.

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