Neural Networks & Deep Learning
Concepto
Técnico principal
The substrate: layered functions tuned by gradient descent.
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A neural network is a stack of simple mathematical layers whose millions to trillions of weights are adjusted by backpropagation until outputs match training targets. 'Deep learning' is the discovery — mainstream since AlexNet in 2012 — that with enough layers, data and GPU compute, this recipe learns almost anything. Everything else on this site is scaffolding around that fact.
Cómo se conecta con el resto del stack
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Relacionado
Fuentes
Registro revisado a fecha de 2026-01-15 — ver Metodología.