"minibatch" meaning in All languages combined

{
  "etymology_templates": [
    {
      "args": {
        "1": "en",
        "2": "mini",
        "3": "batch"
      },
      "expansion": "mini- + batch",
      "name": "prefix"
    }
  ],
  "etymology_text": "Attested since 1993, mini- + batch. Quickly displaced original term \"blockupdate\" coined by Martin Møller in 1992.",
  "forms": [
    {
      "form": "minibatches",
      "tags": [
        "plural"
      ]
    }
  ],
  "head_templates": [
    {
      "args": {},
      "expansion": "minibatch (plural minibatches)",
      "name": "en-noun"
    }
  ],
  "lang": "English",
  "lang_code": "en",
  "pos": "noun",
  "senses": [
    {
      "categories": [
        {
          "kind": "other",
          "name": "English entries with incorrect language header",
          "parents": [
            "Entries with incorrect language header",
            "Entry maintenance"
          ],
          "source": "w"
        },
        {
          "kind": "other",
          "name": "English terms prefixed with mini-",
          "parents": [],
          "source": "w"
        },
        {
          "kind": "topical",
          "langcode": "en",
          "name": "Artificial intelligence",
          "orig": "en:Artificial intelligence",
          "parents": [
            "Computer science",
            "Cybernetics",
            "Computing",
            "Sciences",
            "Applied mathematics",
            "Systems theory",
            "Technology",
            "All topics",
            "Mathematics",
            "Systems",
            "Fundamental",
            "Formal sciences",
            "Interdisciplinary fields",
            "Society"
          ],
          "source": "w"
        }
      ],
      "examples": [
        {
          "ref": "2015, Elad Hazan, Kfir Y. Levy, Shai Shalev-Shwartz, “Beyond Convexity: Stochastic Quasi-Convex Optimization”, in arXiv",
          "text": "Interestingly, unlike the vanilla SGD algorithm, the stochastic normalized gradient descent algorithm provably requires a minimal minibatch size.",
          "type": "quotation"
        }
      ],
      "glosses": [
        "A batch less than one epoch"
      ],
      "id": "en-minibatch-en-noun-oyxRKDel",
      "links": [
        [
          "machine learning",
          "machine learning"
        ],
        [
          "batch",
          "batch"
        ],
        [
          "epoch",
          "epoch"
        ]
      ],
      "qualifier": "machine learning",
      "raw_glosses": [
        "(machine learning) A batch less than one epoch"
      ]
    }
  ],
  "word": "minibatch"
}

{
  "etymology_templates": [
    {
      "args": {
        "1": "en",
        "2": "mini",
        "3": "batch"
      },
      "expansion": "mini- + batch",
      "name": "prefix"
    }
  ],
  "etymology_text": "Attested since 1993, mini- + batch. Quickly displaced original term \"blockupdate\" coined by Martin Møller in 1992.",
  "forms": [
    {
      "form": "minibatches",
      "tags": [
        "plural"
      ]
    }
  ],
  "head_templates": [
    {
      "args": {},
      "expansion": "minibatch (plural minibatches)",
      "name": "en-noun"
    }
  ],
  "lang": "English",
  "lang_code": "en",
  "pos": "noun",
  "senses": [
    {
      "categories": [
        "English countable nouns",
        "English entries with incorrect language header",
        "English lemmas",
        "English nouns",
        "English terms prefixed with mini-",
        "English terms with quotations",
        "en:Artificial intelligence"
      ],
      "examples": [
        {
          "ref": "2015, Elad Hazan, Kfir Y. Levy, Shai Shalev-Shwartz, “Beyond Convexity: Stochastic Quasi-Convex Optimization”, in arXiv",
          "text": "Interestingly, unlike the vanilla SGD algorithm, the stochastic normalized gradient descent algorithm provably requires a minimal minibatch size.",
          "type": "quotation"
        }
      ],
      "glosses": [
        "A batch less than one epoch"
      ],
      "links": [
        [
          "machine learning",
          "machine learning"
        ],
        [
          "batch",
          "batch"
        ],
        [
          "epoch",
          "epoch"
        ]
      ],
      "qualifier": "machine learning",
      "raw_glosses": [
        "(machine learning) A batch less than one epoch"
      ]
    }
  ],
  "word": "minibatch"
}