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NIST · ИТ · a80105aa7b58d39fd4ae

a80105aa7b58d39fd4ae · Can deep learning save us and itself from the avalanche of threats in cyberspace?

Can deep learning save us and itself from the avalanche of threats in cyberspace?

I present a computationally efficient and accurate feedforward neural network for sentiment prediction capable of maintaining high transfer accuracy when coupled with an effective semantics model of the text. Experimental results show the advantages of the

Официальный источник · 2019-09-24

Полные импортированные сведения карточки
{
  "title_en": "Can deep learning save us and itself from the avalanche of threats in cyberspace?",
  "designation": "",
  "series": "",
  "status": "",
  "date": "2019-09-24",
  "date_original": "September 24, 2019",
  "url": "https://www.nist.gov/publications/can-deep-learning-save-us-and-itself-avalanche-threats-cyberspace",
  "source": "NIST Publications",
  "display_en": "",
  "authors_en": "Apostol T. Vassilev",
  "abstract_excerpt_en": "I present a computationally efficient and accurate feedforward neural network for sentiment prediction capable of maintaining high transfer accuracy when coupled with an effective semantics model of the text. Experimental results show the advantages of the",
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      "title_en": "Can deep learning save us and itself from the avalanche of threats in cyberspace?",
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      "date": "2019-09-24",
      "date_original": "September 24, 2019",
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