Gist 7acbe7d13bbc6b2f68c1082286e43733

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Gist 7acbe7d13bbc6b2f68c1082286e43733

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Last edited Mar 29, 2017

Created on Mar 29, 2017

This example shows the initialization of a three-layer neural network in Java, defining input, hidden, and output neuron arrays. The code creates each layer by calling a `Neuron` constructor, with hidden neurons receiving the input layer and output neurons receiving the hidden layer as references, establishing the network’s connectivity. It uses plain Java class definitions and arrays, without external visualization libraries, focusing on the structural setup rather than rendering. The snippet is part of a larger network initializer, demonstrating how layer dependencies are wired during construction.

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