fullyConnectedLayer()
Deep Learning
fullyConnectedLayer() is a MATLAB®-compatible deep learning function for create a fully connected (dense) layer with the given number of output units. Run it online in your browser with SimLab — free, no install, no license required.
Create a fully connected (dense) layer with the given number of output units.
Syntax
layer = fullyConnectedLayer(outputSize)
Examples — run fullyConnectedLayer() in your browser
layers = [featureInputLayer(4), fullyConnectedLayer(10), reluLayer(), fullyConnectedLayer(3), softmaxLayer()];▶ Run
See Also
Frequently Asked Questions about fullyConnectedLayer()
Is the fullyConnectedLayer() function free to use in SimLab?
The browser workspace requires no MATLAB® license or installation. Connected features require network access and may have account, tier, availability, or usage limits. You can open fullyConnectedLayer() and 510+ other MATLAB®-compatible function references at simulations4all.com/simlab.
Do I need to install MATLAB to use fullyConnectedLayer()?
No. SimLab’s core parser, workspace state, and most functions run locally in your browser. The fullyConnectedLayer() function requires no MATLAB® license or desktop software download.
What does fullyConnectedLayer() do?
Create a fully connected (dense) layer with the given number of output units. It is a MATLAB®-compatible deep learning function available in SimLab with the same calling syntax as MATLAB® — typically: layer = fullyConnectedLayer(outputSize).
Can I run fullyConnectedLayer() in my browser?
Yes. Open SimLab at simulations4all.com/simlab, write or paste code that calls fullyConnectedLayer(), and run it. This function’s calculation runs locally in the browser. SimLab session analytics, sharing, feedback, and eligible acceleration have separate network boundaries.
Try SimLab — MATLAB®-compatible, free, in your browser
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