Gist 6415ca0edd67a967c88fe328b0b26115
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CCharlesFr
Last edited Mar 29, 2017
Created on Mar 29, 2017
This example visualizes the input layer of a neural network as a grid of circles, positioned based on a 14-column layout. The `Network` class initializes an array of `Neuron` objects and sets their output values from a `Card` object's inputs. Rendering is done through Processing's `pushMatrix`, `translate`, and `popMatrix` functions, with each neuron’s display method handling its own drawing. The arrangement uses `height` and `width` for responsive sizing, showing how the network’s initial state is mapped spatially.
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