initzero (Neural Network Toolbox)

Zero weight and bias initialization function

Syntax

W = initzero(S,PR)

b = initzero(S,[1 1])

Description

initzero(S,PR) takes two arguments,

S -- Number of rows (neurons)

PR -- R x 2 matrix of input value ranges = [Pmin Pmax]

and returns an S x R weight matrix of zeros.

initzero(S,[1 1]) returns S x 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 4 neurons.

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

Network Use

You can create a standard network that uses initzero to initialize its weights by calling newp or newlin.

To prepare the weights and the bias of layer i of a custom network to be initialized with midpoint

Set net.initFcn to 'initlay'. (net.initParam will automatically become initlay's default parameters.)
Set net.layers{i}.initFcn to 'initwb'.
Set each net.inputWeights{i,j}.initFcn to 'initzero'. Set each net.layerWeights{i,j}.initFcn to 'initzero'. Set each net.biases{i}.initFcn to 'initzero'.

To initialize the network, call init.

See newp or newlin for initialization examples.

See Also

initwb, initlay, init

initwb learncon