Zero weight/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:
- 1
- Set
net.initFcn to 'initlay'. (net.initParam will automatically become
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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