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  2. Attention (machine learning) - Wikipedia

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

    Encoder self-attention, block diagram Encoder self-attention, detailed diagram. Self-attention is essentially the same as cross-attention, except that query, key, and value vectors all come from the same model. Both encoder and decoder can use self-attention, but with subtle differences. For encoder self-attention, we can start with a simple ...

  3. Transformer (deep learning architecture) - Wikipedia

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

    t. e. A standard Transformer architecture, showing on the left an encoder, and on the right a decoder. Note: it uses the pre-LN convention, which is different from the post-LN convention used in the original 2017 Transformer. A transformer is a deep learning architecture developed by researchers at Google and based on the multi-head attention ...

  4. Vision transformer - Wikipedia

    en.wikipedia.org/wiki/Vision_transformer

    An input image is divided into patches, each of which is linearly mapped through a patch embedding layer, before entering a standard Transformer encoder. A vision transformer (ViT) is a transformer designed for computer vision. [1] A ViT breaks down an input image into a series of patches (rather than breaking up text into tokens), serialises ...

  5. BERT (language model) - Wikipedia

    en.wikipedia.org/wiki/BERT_(language_model)

    BERT (language model) Bidirectional encoder representations from transformers (BERT) is a language model introduced in October 2018 by researchers at Google. [1][2] It learned by self-supervised learning to represent text as a sequence of vectors. It had the transformer encoder architecture. It was notable for its dramatic improvement over ...

  6. Self-attention - Wikipedia

    en.wikipedia.org/wiki/Self-attention

    Self-attention can mean: Attention (machine learning), a machine learning technique; self-attention, an attribute of natural cognition

  7. File:Encoder self-attention, block diagram.png - Wikipedia

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

    File:Encoder self-attention, block diagram.png. Appearance. File. File history. File usage. Size of this preview: 800 × 292 pixels. Other resolutions: 320 × 117 pixels | 640 × 233 pixels | 1,426 × 520 pixels. Original file ‎ (1,426 × 520 pixels, file size: 19 KB, MIME type: image/png) This is a file from the Wikimedia Commons.

  8. Attention schema theory - Wikipedia

    en.wikipedia.org/wiki/Attention_schema_theory

    The attention schema theory (AST) of consciousness (or subjective awareness) is a neuroscientific and evolutionary theory of consciousness which was developed by neuroscientist Michael Graziano at Princeton University. [1][2] It proposes that brains construct subjective awareness as a schematic model of the process of attention. [1][2] The ...

  9. Maslow's hierarchy of needs - Wikipedia

    en.wikipedia.org/wiki/Maslow's_hierarchy_of_needs

    Maslow noted two versions of esteem needs. The "lower" version of esteem is the need for respect from others and may include a need for status, recognition, fame, prestige, and attention. The "higher" version of esteem is the need for self-respect, and can include a need for strength, competence, [3] mastery, self-confidence, independence, and ...