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