trainNetwork()
Deep Learning
trainNetwork() is a MATLAB®-compatible deep learning function for train a neural network from a layer array and training options (tensorflow.js backend). synonym: trainnet. Run it online in your browser with SimLab — free, no install, no license required.
Train a neural network from a layer array and training options (tensorflow.js backend). Synonym: trainnet.
Syntax
net = trainNetwork(X, Y, layers, options)
Examples — run trainNetwork() in your browser
trainNetwork([1 1; 7 8], [0; 1], [featureInputLayer(2), fullyConnectedLayer(2), softmaxLayer(), classificationLayer()], trainingOptions("adam", "MaxEpochs", 2))▶ RunSee Also
Frequently Asked Questions about trainNetwork()
Is the trainNetwork() function free to use in SimLab?
Yes. SimLab is 100% free — no signup, no license, and no usage limits. You can run trainNetwork() and 510+ other MATLAB®-compatible functions directly in your browser at simulations4all.com/simlab.
Do I need to install MATLAB to use trainNetwork()?
No. SimLab runs entirely in your web browser with zero installation. The trainNetwork() function works without any MATLAB® license or software download.
What does trainNetwork() do?
Train a neural network from a layer array and training options (tensorflow.js backend). Synonym: trainnet. It is a MATLAB®-compatible deep learning function available in SimLab with the same calling syntax as MATLAB® — typically: net = trainNetwork(X, Y, layers, options).
Can I run trainNetwork() in my browser?
Yes. Open SimLab at simulations4all.com/simlab, write or paste code that calls trainNetwork(), and run it. Execution happens locally in your browser — no data leaves your machine.
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510+ functions. Runs in your browser. No install. No license.
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