globalAveragePooling1dLayer — Create a global average pooling 1-D layer compatibility object.
globalAveragePooling1dLayer creates metadata for global average pooling in 1-D architectures.
Syntax
layer = globalAveragePooling1dLayer
layer = globalAveragePooling1dLayer(Name, Value)How globalAveragePooling1dLayer works
- Common layer name-value options are stored as properties.
GPU memory and residency
Layer construction is host metadata work and has no provider kernel.
Example
Create Pooling Layer
layer = globalAveragePooling1dLayer('Name', 'gap')Expected output:
Global average pooling compatibility object.Using globalAveragePooling1dLayer with coding agents
Open a RunMat example with live inputs, then ask the agent to explain how globalAveragePooling1dLayer changes the result.
Run a small globalAveragePooling1dLayer 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 · layerGraph · layerNormalizationLayer · lstmLayer · padsequences · regressionLayer · reluLayer · sequenceInputLayer · softmaxLayer · trainingOptions · trainnet · trainNetwork
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