sequenceInputLayer — Create a sequence input layer compatibility object.
sequenceInputLayer(inputSize) creates metadata for sequence network definitions.
Syntax
layer = sequenceInputLayer(inputSize)
layer = sequenceInputLayer(inputSize, Name, Value)How sequenceInputLayer works
inputSizemay be a positive integer scalar or numeric vector of positive integers.- 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 Sequence Input
layer = sequenceInputLayer(12, 'Name', 'tokens')Expected output:
`layer` stores input-size and name metadata.Using sequenceInputLayer with coding agents
Open a RunMat example with live inputs, then ask the agent to explain how sequenceInputLayer changes the result.
Run a small sequenceInputLayer 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 · regressionLayer · reluLayer · softmaxLayer · trainingOptions · trainnet · trainNetwork
About RunMat
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