Skip to main content
100%

Gist 232b1f382c6798335ff1f889303e9f62

✓ Published0🌍 Public
CCharlesFr
Last edited Mar 29, 2017
Created on Mar 29, 2017

This example visualizes a neural network’s response to input cards, showing how activation flows from the input layer through the hidden layer to the output layer. The code, written in Processing, defines a `Network` class whose `respond()` method assigns each card’s input values to the input layer’s neurons, then sequentially calls `respond()` on each hidden and output neuron to propagate signals. It uses the `Card` class for data inputs and the `Network`’s internal layer arrays to manage neurons, demonstrating a feedforward computation without any external visualization library.

AI-generated description

Similar vizzes