Neural Network Toolbox

initwb

By-weight-and-bias layer initialization function

Syntax

net = initwb(net,i)

Description

initwb is a layer initialization function that 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}.initFcn to a weight initialization function. Set each net.layerWeights{i,j}.initFcn to a weight initialization function. Set each net.biases{i}.initFcn 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

initnw

initzero

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