convolution1dLayer — Create a 1-D convolution layer compatibility object.
convolution1dLayer(filterSize,numFilters) creates metadata for 1-D convolution layers.
Syntax
layer = convolution1dLayer(filterSize, numFilters)
layer = convolution1dLayer(filterSize, numFilters, Name, Value)How convolution1dLayer works
filterSizeandnumFiltersmust be positive integers.Stridedefaults to1;Paddingdefaults tosame.- Common convolution name-value options are preserved as properties.
GPU memory and residency
Layer construction is host metadata work. Convolution execution kernels remain future training/inference work.
Example
Create 1-D Convolution
layer = convolution1dLayer(3, 16, 'Padding', 'causal', 'Name', 'conv')Expected output:
1-D convolution layer compatibility object.Using convolution1dLayer with coding agents
Open a RunMat example with live inputs, then ask the agent to explain how convolution1dLayer changes the result.
Run a small convolution1dLayer example, explain the result, then change one input and compare the output.
Related Deep Learning functions
adamupdate · analyzeNetwork · bilstmLayer · classificationLayer · combvec · 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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