plottrainstate

(To be removed) Plot training state values

plottrainstate 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

plottrainstate(tr)


Description

plottrainstate(tr) plots the training state from a training record tr returned by train.

Examples

Plot Training State Values

This example shows how to plot training state values using plottrainstate.

[x, t] = bodyfat_dataset;
net = feedforwardnet(10);
[net, tr] = train(net, x, t);

plottrainstate(tr)

Version History

Introduced in R2008a

R2026a: plottrainstate will be removed

plottrainstate 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

To visualize training and validation metrics during training, set the Plots argument of the trainingOptions function to "training-progress". To display the training progress plot using a TrainingInfo object, use the show function. To export the training progress plot as an image, click the Export as Image button in the plot or use the exportPlotAsImage function.

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