initwb :: Functions (Neural Network Toolbox™)

initwb

Purpose

By weight and bias layer initialization function

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

`net`	Neural network
`i`	Index of a layer

and returns the network with layer i's weights and biases updated.

You can create a standard network that uses initwb by calling newp or newlin.

To prepare a custom network to be initialized with initwb,

Set net.initFcn to 'initlay'. This sets net.initParam to the empty matrix [], because initlay has no initialization parameters.
Set net.layers{i}.initFcn to 'initwb'.
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.

Each weight (bias) in layer i is set to new values calculated according to its weight (bias) initialization function.