layerNormalizationLayer — Create a layer normalization layer compatibility object.
layerNormalizationLayer creates metadata for layer-normalization layers.
Syntax
layer = layerNormalizationLayer
layer = layerNormalizationLayer(Name, Value)How layerNormalizationLayer works
Epsilondefaults to1e-5.- Name-value options such as learn-rate factors and initializers are preserved as properties.
GPU memory and residency
Layer construction is host metadata work and has no provider kernel.
Example
Create Layer Normalization
layer = layerNormalizationLayer('Name', 'ln')Expected output:
Layer normalization compatibility object.Using layerNormalizationLayer with coding agents
Open a RunMat example with live inputs, then ask the agent to explain how layerNormalizationLayer changes the result.
Run a small layerNormalizationLayer 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 · lstmLayer · padsequences · regressionLayer · reluLayer · sequenceInputLayer · softmaxLayer · trainingOptions · trainnet · trainNetwork
About RunMat
RunMat is an open-source runtime that executes MATLAB-syntax code blazing on any GPU. It is licensed under the Apache 2.0 license.
- RunMat automatically optimizes your math for GPU execution on Apple, Nvidia, and AMD hardware. No code changes needed. Simulations that took hours now take minutes.
- Start running code in seconds. RunMat runs in the browser, on the desktop, or from the CLI. No license server, no IT ticket.