plotpc

R2026b

(To be removed) Plot classification line on perceptron vector plot

plotpc 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

plotpc(W,B)
plotpc(W,B,H)


Description

plotpc(W,B) takes these inputs,

W	S-by-R weight matrix (R must be 3 or less)
B	S-by-1 bias vector

and returns a handle to a plotted classification line.

plotpc(W,B,H) takes an additional input,

H	Handle to last plotted line

and deletes the last line before plotting the new one.

This function does not change the current axis and is intended to be called after plotpv.

Examples

Plot Classification Line

The code below defines and plots the inputs and targets for a perceptron:

p = [0 0 1 1; 0 1 0 1];
t = [0 0 0 1];
plotpv(p,t)

The following code creates a perceptron, assigns values to its weights and biases, and plots the resulting classification line.

net = perceptron;
net = configure(net,p,t);
net.iw{1,1} = [-1.2 -0.5];
net.b{1} = 1;
plotpc(net.iw{1,1},net.b{1})

Version History

Introduced before R2006a

plotpc will be removed

plotpc will be removed in a future release.

To learn more about visualization workflows, see these examples and topics:

• Deep Learning Visualization Methods

• Explore Network Predictions Using Deep Learning Visualization Techniques

• Deep Learning Metrics

• Monitor Deep Learning Training Progress

• ROC Curve and Performance Metrics

Create plots using the plot and scatter functions instead.

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