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  1. DEEP Definition & Meaning | Dictionary.com

    DEEP definition: extending far down from the top or surface. See examples of deep used in a sentence.

  2. DeepL Translate: The world's most accurate translator

    Ready to transform your business communication with DeepL? Translate texts & full document files instantly. Accurate translations for individuals and Teams. Millions translate with DeepL …

  3. DEEP definition and meaning | Collins English Dictionary

    If you describe someone as deep, you mean that they are quiet and reserved in a way that makes you think that they have good qualities such as intelligence or determination.

  4. DEEP | definition in the Cambridge English Dictionary

    DEEP meaning: 1. going or being a long way down from the top or surface, or being of a particular distance from…. Learn more.

  5. Deep - definition of deep by The Free Dictionary

    Define deep. deep synonyms, deep pronunciation, deep translation, English dictionary definition of deep. adj. deep·er , deep·est 1. a. Extending far downward below a surface: a deep hole in …

  6. deep adjective - Definition, pictures, pronunciation and usage …

    Definition of deep adjective in Oxford Advanced Learner's Dictionary. Meaning, pronunciation, picture, example sentences, grammar, usage notes, synonyms and more.

  7. DEEP | definition in the Cambridge Learner’s Dictionary

    deep adjective (SERIOUS) serious and difficult for most people to understand: a deep and meaningful conversation a deep sleep

  8. Google

    Search the world's information, including webpages, images, videos and more. Google has many special features to help you find exactly what you're looking for.

  9. DEEP - Definition & Translations | Collins English Dictionary

    Discover everything about the word "DEEP" in English: meanings, translations, synonyms, pronunciations, examples, and grammar insights - all in one comprehensive guide.

  10. Deep learning - Wikipedia

    In machine learning, deep learning focuses on utilizing multilayered neural networks to perform tasks such as classification, regression, and representation learning. The field takes inspiration …