analyzeNetwork — Analyze network metadata without launching MATLAB's UI analyzer.
analyzeNetwork(networkOrLayers) returns a RunMat analysis object with layer count and layer names.
Syntax
analysis = analyzeNetwork(networkOrLayers)How analyzeNetwork works
- Accepts a layer graph, layer object, cell array of layers, or object list.
- Returns host metadata instead of opening an interactive analyzer UI.
GPU memory and residency
Network analysis reads host metadata and has no provider kernel.
Example
Analyze Layers
analysis = analyzeNetwork({featureInputLayer(4), reluLayer})Expected output:
`analysis.NumLayers` reports the number of layers.Using analyzeNetwork with coding agents
Open a RunMat example with live inputs, then ask the agent to explain how analyzeNetwork changes the result.
Run a small analyzeNetwork example, explain the result, then change one input and compare the output.
Related Deep Learning functions
adamupdate · bilstmLayer · classificationLayer · combvec · convolution1dLayer · crossentropy · dlarray · dlfeval · dlgradient · dlnetwork · dlupdate · eluLayer · exportONNXNetwork · featureInputLayer · forward · fullyConnectedLayer · globalAveragePooling1dLayer · layerGraph · layerNormalizationLayer · 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.