{"data":{"slug":"neural-networks","etype":"concept","name":"Neural Networks & Deep Learning","cat":"Core Technical","subtitle":"The substrate: layered functions tuned by gradient descent.","summary":"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.","attrs":null,"kf":null,"aliases":["deep learning","backpropagation"],"ticker":null,"exchange":null,"hq":null,"founded":null,"website":null,"status":null,"region":null,"asof":"2026-01-15","sources":[{"url":"https://www.nature.com/articles/nature14539","label":"Deep learning (Nature 2015)"}]},"meta":{"found":true,"count":1,"served_from":"site cache (no live upstream calls)","as_of":"2026-10-14T06:35:15+00:00","disclaimer":"Research and information only — not investment advice. Structured records carry basis labels (vendor spec / reported / estimate); market quotes are delayed/indicative.","attribution":"Records compiled from vendor documentation, official filings and reputable public reporting; market quotes via financial data providers. See /data-sources."}}