midpoint

(To be removed) Midpoint weight initialization function

midpoint 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 = midpoint(S,PR)


Description

midpoint is a weight initialization function that sets weight (row) vectors to the center of the input ranges.

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

S	Number of rows (neurons)
PR	R-by-Q matrix of Q input (column) vectors with values in the ranges = [Pmin Pmax] where Q is the batch size

and returns an S-by-R matrix with rows set to (Pmin+Pmax)'/2.

Examples

Here initial weight values are calculated for a five-neuron layer with input elements ranging over [0 1] and [-2 2].

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

Version History

Introduced before R2006a

R2026a: midpoint will be removed

midpoint 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.