classificationLayer — Create a classification output layer compatibility object.
classificationLayer creates metadata for classification-output network definitions.
Syntax
layer = classificationLayer
layer = classificationLayer(Name, Value)How classificationLayer works
Classesdefaults toauto; common name-value options are preserved as properties.
GPU memory and residency
Layer construction is host metadata work and has no provider kernel.
Example
Create Classification Output
layer = classificationLayer('Name', 'classoutput')Expected output:
Classification output layer compatibility object.Using classificationLayer with coding agents
Open a RunMat example with live inputs, then ask the agent to explain how classificationLayer changes the result.
Run a small classificationLayer example, explain the result, then change one input and compare the output.
Related Deep Learning functions
adamupdate · analyzeNetwork · bilstmLayer · combvec · convolution1dLayer · crossentropy · dlarray · dlfeval · dlgradient · dlnetwork · dlupdate · eluLayer · exportONNXNetwork · featureInputLayer · forward · fullyConnectedLayer · globalAveragePooling1dLayer · layerGraph · layerNormalizationLayer · lstmLayer · padsequences · regressionLayer · reluLayer · sequenceInputLayer · softmaxLayer · trainingOptions · trainnet · trainNetwork
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