plotwb

R2026b

(To be removed) Plot Hinton diagram of weight and bias values

plotwb 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

plotwb(net)
plotwb(IW,LW,B)
plotwb(...,'toLayers',toLayers)
plotwb(...,'fromInputs',fromInputs)
plotwb(...,'fromLayers',fromLayers)
plotwb(...,'root',root)

Description

plotwb(net) takes a neural network and plots all its weights and biases.

plotwb(IW,LW,B) takes a neural networks input weights, layer weights and biases and plots them.

plotwb(...,'toLayers',toLayers) optionally defines which destination layers whose input weights, layer weights and biases will be plotted.

plotwb(...,'fromInputs',fromInputs) optionally defines which inputs will have their weights plotted.

plotwb(...,'fromLayers',fromLayers) optionally defines which layers will have weights coming from them plotted.

plotwb(...,'root',root) optionally defines the root used to scale the weight/bias patch sizes. The default is 2, which makes the 2-dimensional patch sizes scale directly with absolute weight and bias sizes. Larger values of root magnify the relative patch sizes of smaller weights and biases, making differences in smaller values easier to see.

Examples

Plot Weights and Biases

Here a cascade-forward network is configured for particular data and its weights and biases are plotted in several ways.

[x,t] = simplefit_dataset;
net = cascadeforwardnet([15 5]);
net = configure(net,x,t);
plotwb(net)

Hinton diagram showing all weights and biases for a cascade-forward network with layers of size 15, 5, and 1

plotwb(net,'root',3)

Hinton diagram with root 3, magnifying smaller weight differences

plotwb(net,'root',4)

Hinton diagram with root 4, further magnifying smaller weight differences

plotwb(net,'toLayers',2)

Hinton diagram showing only weights and biases going to layer 2

plotwb(net,'fromLayers',1)

Hinton diagram showing only weights coming from layer 1

plotwb(net,'toLayers',2,'fromInputs',1)

Hinton diagram showing only weights to layer 2 from input 1

Version History

Introduced in R2010b

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See Also

| (Statistics and Machine Learning Toolbox) | (Statistics and Machine Learning Toolbox) | | |

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