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  2. Transformer (deep learning architecture) - Wikipedia

    en.wikipedia.org/wiki/Transformer_(deep_learning...

    Concretely, let the multiple attention heads be indexed by , then we have (,,) = [] ((,,)) where the matrix is the concatenation of word embeddings, and the matrices ,, are "projection matrices" owned by individual attention head , and is a final projection matrix owned by the whole multi-headed attention head.

  3. Attention Is All You Need - Wikipedia

    en.wikipedia.org/wiki/Attention_Is_All_You_Need

    Each attention head learns different linear projections of the Q, K, and V matrices. This allows the model to capture different aspects of the relationships between words in the sequence simultaneously, rather than focusing on a single aspect. By doing this, multi-head attention ensures that the input embeddings are updated from a more varied ...

  4. Attention (machine learning) - Wikipedia

    en.wikipedia.org/wiki/Attention_(machine_learning)

    During the deep learning era, attention mechanism was developed to solve similar problems in encoding-decoding. [1]In machine translation, the seq2seq model, as it was proposed in 2014, [24] would encode an input text into a fixed-length vector, which would then be decoded into an output text.

  5. For Dummies - Wikipedia

    en.wikipedia.org/wiki/For_Dummies

    Notable For Dummies books include: DOS For Dummies, the first, published in 1991, whose first printing was just 7,500 copies [4] [5] Windows for Dummies, asserted to be the best-selling computer book of all time, with more than 15 million sold [4] L'Histoire de France Pour Les Nuls, the top-selling non-English For Dummies title, with more than ...

  6. File:Multiheaded attention, block diagram.png - Wikipedia

    en.wikipedia.org/wiki/File:Multiheaded_attention...

    Multiheaded_attention,_block_diagram.png (656 × 600 pixels, file size: 32 KB, MIME type: image/png) This is a file from the Wikimedia Commons . Information from its description page there is shown below.

  7. Internet Archive - Wikipedia

    en.wikipedia.org/wiki/Internet_Archive

    As of July 2013, the Internet Archive was operating 33 scanning centers in five countries, digitizing about 1,000 books a day for a total of more than 2 million books, in a total collection of 4.4 million books – including material digitized by others and fed into the Internet Archive; at that time, users were performing more than 15 million ...

  8. Broadbent's filter model of attention - Wikipedia

    en.wikipedia.org/wiki/Broadbent's_filter_model_of...

    Additional research proposes the notion of a moveable filter. The multimode theory of attention combines physical and semantic inputs into one theory. Within this model, attention is assumed to be flexible, allowing different depths of perceptual analysis. [28] Which feature gathers awareness is dependent upon the person's needs at the time. [3]

  9. Brain Rules - Wikipedia

    en.wikipedia.org/wiki/Brain_Rules

    Brain Rules: 12 Principles for Surviving and Thriving at Work, Home, and School is a book written by John Medina, a developmental molecular biologist. [1] The book has tried to explain how the brain works in twelve perspectives: exercise, survival, wiring, attention, short-term memory, long-term memory, sleep, stress, multisensory perception, vision, gender and exploration. [2]