By-weight-and-bias layer initialization function
Syntax
net = initwb(net,i)
Description
initwb is a layer initialization function with initializes a layer's weights and biases according to their own initialization functions.
initwb(net,i) takes two arguments,
net - Neural network.
i - Index of a layer.
and returns the network with layer i's weights and biases updated.
Network Use
You can create a standard network that uses initwb by calling newp or newlin.
To prepare a custom network to be initialized with initwb:
- 1
- Set
net.initFcn to 'initlay'. (This will set net.initParam to the empty
matrix [ ] since initlay has no initialization parameters.)
- 2
- Set
net.layers{i}.initFcn to 'initwb'.
- 3
- Set each
net.inputWeights{i,j}.learnFcn to a weight initialization
function. Set each net.layerWeights{i,j}.learnFcn to a weight
initialization function. Set each net.biases{i}.learnFcn to a bias
initialization function. (Examples of such functions are rands and
midpoint.)
To initialize the network call init.
See newp and newlin for training examples.
Algorithm
Each weight (bias) in layer i is set to new values calculated according to its weight (bias) initialization function.
See Also
initnw, initlay, init
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