initwb

(To be removed) By weight and bias layer initialization function

initwb will be removed in a future release. For more information, see Transition Legacy Neural Network Code to dlnetwork Workflows.

For advice on updating your code, see Version History.

Syntax

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 perceptron or linearlayer.

To prepare a custom network to be initialized with initwb,

1. Set net.initFcn to 'initlay'. This sets net.initParam to the empty matrix [], because 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 initialization functions are rands (for weights and biases) and midpoint (for weights only).

To initialize the network, call init.

Algorithms

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

Version History

Introduced before R2006a

R2026a: initwb will be removed

initwb will be removed in a future release.

To learn more about initializing and customizing neural network learnable parameters, see these examples and topics:

• Compare Layer Weight Initializers

• Specify Custom Weight Initialization Function

• Neural Network Weight Tying

• Initialize Learnable Parameters for Model Function

For more information, see Transition Legacy Neural Network Code to dlnetwork Workflows.