"pretrain" meaning in All languages combined

{
  "etymology_templates": [
    {
      "args": {
        "1": "en",
        "2": "pre",
        "3": "train"
      },
      "expansion": "pre- + train",
      "name": "prefix"
    }
  ],
  "etymology_text": "From pre- + train.",
  "forms": [
    {
      "form": "pretrains",
      "tags": [
        "present",
        "singular",
        "third-person"
      ]
    },
    {
      "form": "pretraining",
      "tags": [
        "participle",
        "present"
      ]
    },
    {
      "form": "pretrained",
      "tags": [
        "participle",
        "past"
      ]
    },
    {
      "form": "pretrained",
      "tags": [
        "past"
      ]
    }
  ],
  "head_templates": [
    {
      "args": {},
      "expansion": "pretrain (third-person singular simple present pretrains, present participle pretraining, simple past and past participle pretrained)",
      "name": "en-verb"
    }
  ],
  "lang": "English",
  "lang_code": "en",
  "pos": "verb",
  "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 pre-",
          "parents": [],
          "source": "w"
        },
        {
          "kind": "other",
          "name": "Pages with 1 entry",
          "parents": [],
          "source": "w"
        },
        {
          "kind": "other",
          "name": "Pages with entries",
          "parents": [],
          "source": "w"
        },
        {
          "kind": "topical",
          "langcode": "en",
          "name": "Machine learning",
          "orig": "en:Machine learning",
          "parents": [
            "Artificial intelligence",
            "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, Hyeonseob Nam, Bohyung Han, “Learning Multi-Domain Convolutional Neural Networks for Visual Tracking”, in arXiv:",
          "text": "Our algorithm pretrains a CNN using a large set of videos with tracking ground-truths to obtain a generic target representation.",
          "type": "quote"
        }
      ],
      "glosses": [
        "To train (a neural network) on some data set (typically a large generic data set, the output of which one is not directly interested in) before fine-tuning the network on another dataset one is interested in."
      ],
      "id": "en-pretrain-en-verb-fYM7VZMj",
      "links": [
        [
          "machine learning",
          "machine learning"
        ],
        [
          "neural network",
          "neural network"
        ],
        [
          "data set",
          "data set"
        ],
        [
          "fine-tuning",
          "fine-tune"
        ]
      ],
      "qualifier": "machine learning",
      "raw_glosses": [
        "(machine learning) To train (a neural network) on some data set (typically a large generic data set, the output of which one is not directly interested in) before fine-tuning the network on another dataset one is interested in."
      ],
      "synonyms": [
        {
          "word": "pre-train"
        }
      ]
    }
  ],
  "word": "pretrain"
}

{
  "etymology_templates": [
    {
      "args": {
        "1": "en",
        "2": "pre",
        "3": "train"
      },
      "expansion": "pre- + train",
      "name": "prefix"
    }
  ],
  "etymology_text": "From pre- + train.",
  "forms": [
    {
      "form": "pretrains",
      "tags": [
        "present",
        "singular",
        "third-person"
      ]
    },
    {
      "form": "pretraining",
      "tags": [
        "participle",
        "present"
      ]
    },
    {
      "form": "pretrained",
      "tags": [
        "participle",
        "past"
      ]
    },
    {
      "form": "pretrained",
      "tags": [
        "past"
      ]
    }
  ],
  "head_templates": [
    {
      "args": {},
      "expansion": "pretrain (third-person singular simple present pretrains, present participle pretraining, simple past and past participle pretrained)",
      "name": "en-verb"
    }
  ],
  "lang": "English",
  "lang_code": "en",
  "pos": "verb",
  "senses": [
    {
      "categories": [
        "English entries with incorrect language header",
        "English lemmas",
        "English terms prefixed with pre-",
        "English terms with quotations",
        "English verbs",
        "Pages with 1 entry",
        "Pages with entries",
        "en:Machine learning"
      ],
      "examples": [
        {
          "ref": "2015, Hyeonseob Nam, Bohyung Han, “Learning Multi-Domain Convolutional Neural Networks for Visual Tracking”, in arXiv:",
          "text": "Our algorithm pretrains a CNN using a large set of videos with tracking ground-truths to obtain a generic target representation.",
          "type": "quote"
        }
      ],
      "glosses": [
        "To train (a neural network) on some data set (typically a large generic data set, the output of which one is not directly interested in) before fine-tuning the network on another dataset one is interested in."
      ],
      "links": [
        [
          "machine learning",
          "machine learning"
        ],
        [
          "neural network",
          "neural network"
        ],
        [
          "data set",
          "data set"
        ],
        [
          "fine-tuning",
          "fine-tune"
        ]
      ],
      "qualifier": "machine learning",
      "raw_glosses": [
        "(machine learning) To train (a neural network) on some data set (typically a large generic data set, the output of which one is not directly interested in) before fine-tuning the network on another dataset one is interested in."
      ]
    }
  ],
  "synonyms": [
    {
      "word": "pre-train"
    }
  ],
  "word": "pretrain"
}