Gist 504719be190c80e2cec9228ea8849c7f

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Gist 504719be190c80e2cec9228ea8849c7f

✓ Published0🌍 Public

Last edited Mar 29, 2017

Created on Mar 29, 2017

This example shows a handwritten digit recognition system built in Processing. It displays a neural network with 196 input nodes, 49 hidden nodes, and 10 output nodes, trained on the MNIST dataset. The sketch loads a sigmoid activation function and constructs the network via the custom `Network` class. As the user draws on a canvas, the network classifies the input and visualizes the activations propagating through the layers. The code uses Processing’s `setup()` and `loadSigmoid()` methods to initialize the model and rendering.

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