"pretrain" meaning in English

{
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      "expansion": "Etymology tree\nProto-Indo-European *per-\nProto-Indo-European *preh₂-der.\nProto-Italic *prai\nProto-Italic *prai-\nLatin prae-lbor.\nMiddle English pre-\nEnglish pre-\nProto-Indo-European *dʰregʰ-der.?\nLatin trahere\nVulgar Latin *tragīnāre\nOld French traïnerder.\nOld French trainder.\nMiddle English trayne\nEnglish trainder.\nEnglish pretrain",
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        "2": "pre",
        "3": "train"
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      "expansion": "pre- + train",
      "name": "prefix"
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  "etymology_text": "Etymology tree\nProto-Indo-European *per-\nProto-Indo-European *preh₂-der.\nProto-Italic *prai\nProto-Italic *prai-\nLatin prae-lbor.\nMiddle English pre-\nEnglish pre-\nProto-Indo-European *dʰregʰ-der.?\nLatin trahere\nVulgar Latin *tragīnāre\nOld French traïnerder.\nOld French trainder.\nMiddle English trayne\nEnglish trainder.\nEnglish pretrain\nFrom pre- + train.",
  "forms": [
    {
      "form": "pretrains",
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        "singular",
        "third-person"
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    },
    {
      "form": "pretraining",
      "tags": [
        "participle",
        "present"
      ]
    },
    {
      "form": "pretrained",
      "tags": [
        "participle",
        "past"
      ]
    },
    {
      "form": "pretrained",
      "tags": [
        "past"
      ]
    },
    {
      "form": "pre-train",
      "tags": [
        "alternative"
      ]
    }
  ],
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    {
      "args": {},
      "expansion": "pretrain (third-person singular simple present pretrains, present participle pretraining, simple past and past participle pretrained)",
      "name": "en-verb"
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  ],
  "lang": "English",
  "lang_code": "en",
  "pos": "verb",
  "senses": [
    {
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        {
          "kind": "other",
          "name": "English entries with etymology trees",
          "parents": [],
          "source": "w"
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          "kind": "other",
          "name": "English entries with incorrect language header",
          "parents": [],
          "source": "w"
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        {
          "kind": "other",
          "name": "English terms prefixed with pre-",
          "parents": [],
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        {
          "kind": "other",
          "name": "Pages using etymon with no ID",
          "parents": [],
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        },
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          "name": "Pages with 1 entry",
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          "parents": [],
          "source": "w"
        },
        {
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          "langcode": "en",
          "name": "Machine learning",
          "orig": "en:Machine learning",
          "parents": [],
          "source": "w"
        }
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              23
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          "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": "quotation"
        }
      ],
      "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",
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          "machine learning",
          "machine learning"
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          "neural network"
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          "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."
      ]
    }
  ],
  "word": "pretrain"
}

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    {
      "args": {
        "1": "en",
        "2": ":af",
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        "4": ":der",
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      "expansion": "Etymology tree\nProto-Indo-European *per-\nProto-Indo-European *preh₂-der.\nProto-Italic *prai\nProto-Italic *prai-\nLatin prae-lbor.\nMiddle English pre-\nEnglish pre-\nProto-Indo-European *dʰregʰ-der.?\nLatin trahere\nVulgar Latin *tragīnāre\nOld French traïnerder.\nOld French trainder.\nMiddle English trayne\nEnglish trainder.\nEnglish pretrain",
      "name": "etymon"
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    {
      "args": {
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        "2": "pre",
        "3": "train"
      },
      "expansion": "pre- + train",
      "name": "prefix"
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  ],
  "etymology_text": "Etymology tree\nProto-Indo-European *per-\nProto-Indo-European *preh₂-der.\nProto-Italic *prai\nProto-Italic *prai-\nLatin prae-lbor.\nMiddle English pre-\nEnglish pre-\nProto-Indo-European *dʰregʰ-der.?\nLatin trahere\nVulgar Latin *tragīnāre\nOld French traïnerder.\nOld French trainder.\nMiddle English trayne\nEnglish trainder.\nEnglish pretrain\nFrom pre- + train.",
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        "singular",
        "third-person"
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    {
      "form": "pretraining",
      "tags": [
        "participle",
        "present"
      ]
    },
    {
      "form": "pretrained",
      "tags": [
        "participle",
        "past"
      ]
    },
    {
      "form": "pretrained",
      "tags": [
        "past"
      ]
    },
    {
      "form": "pre-train",
      "tags": [
        "alternative"
      ]
    }
  ],
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    {
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  ],
  "lang": "English",
  "lang_code": "en",
  "pos": "verb",
  "senses": [
    {
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        "English entries with incorrect language header",
        "English lemmas",
        "English terms derived from Latin",
        "English terms derived from Middle English",
        "English terms derived from Old French",
        "English terms derived from Proto-Indo-European",
        "English terms derived from Vulgar Latin",
        "English terms derived from the Proto-Indo-European root *dʰregʰ-",
        "English terms derived from the Proto-Indo-European root *per- (before)",
        "English terms derived from the Proto-Indo-European root *preh₂-",
        "English terms prefixed with pre-",
        "English terms with quotations",
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        "Pages with 1 entry",
        "Pages with entries",
        "Pages with etymology trees",
        "en:Machine learning"
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              14,
              23
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          "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": "quotation"
        }
      ],
      "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"
        ],
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          "neural network",
          "neural network"
        ],
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          "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."
      ]
    }
  ],
  "word": "pretrain"
}