{
  "@context": "https://schema.org",
  "@type": "TechArticle",
  "@id": "https://anchorfact.org/kb/kb-2026-00273",
  "headline": "Transfer Learning",
  "description": "Transfer learning applies knowledge from a source domain to improve learning in a target domain. In deep learning: pre-train on large generic dataset (ImageNet), fine-tune on specific task with small labeled dataset. This is the dominant paradigm in computer vision and NLP — training from scratch is rare.",
  "dateCreated": "2026-05-22T14:59:47.504Z",
  "dateModified": "2026-05-22T14:59:47.504Z",
  "author": {
    "@type": "Organization",
    "name": "AnchorFact"
  },
  "publisher": {
    "@type": "Organization",
    "name": "AnchorFact",
    "url": "https://anchorfact.org"
  },
  "license": "https://creativecommons.org/licenses/by/4.0/",
  "anchorfact:confidence": "high",
  "anchorfact:generationMethod": "human_only",
  "citation": []
}