initzero

(To be removed) Zero weight and bias initialization function

initzero will be removed in a future release. For more information, see Transition Legacy Neural Network Code to dlnetwork Workflows.

For advice on updating your code, see Version History.

Syntax

W = initzero(S,PR)
b = initzero(S,[1 1])


Description

W = initzero(S,PR) takes two arguments,

S	Number of rows (neurons)
PR	R-by-2 matrix of input value ranges = [Pmin Pmax]

and returns an S-by-R weight matrix of zeros.

b = initzero(S,[1 1]) returns an S-by-1 bias vector of zeros.

Examples

Here initial weights and biases are calculated for a layer with two inputs ranging over [0 1] and [-2 2] and four neurons.

W = initzero(5,[0 1; -2 2])
b = initzero(5,[1 1])

Version History

Introduced before R2006a

R2026a: initzero will be removed

initzero will be removed in a future release.

To learn more about initializing and customizing neural network learnable parameters, see these examples and topics:

• Compare Layer Weight Initializers

• Specify Custom Weight Initialization Function

• Neural Network Weight Tying

• Initialize Learnable Parameters for Model Function

For more information, see Transition Legacy Neural Network Code to dlnetwork Workflows.