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 an 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 four 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,

1. Set net.initFcn to 'initlay'. (net.initParam automatically becomes initlay's default parameters.)
2. Set net.layers{i}.initFcn to 'initwb'.
3. 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

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