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  2. Attention (machine learning) - Wikipedia

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

    Attention module – this can be a dot product of recurrent states, or the query-key-value fully-connected layers. The output is a 100-long vector w. H 500×100. 100 hidden vectors h concatenated into a matrix c 500-long context vector = H * w. c is a linear combination of h vectors weighted by w.

  3. Attention - Wikipedia

    en.wikipedia.org/wiki/Attention

    Attention is manifested by an attentional bottleneck, in terms of the amount of data the brain can process each second; for example, in human vision, less than 1% of the visual input data stream of 1MByte/sec can enter the bottleneck, [4] [5] leading to inattentional blindness.

  4. Transformer (deep learning architecture) - Wikipedia

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

    A non-masked attention module can be thought of as a masked attention module where the mask has all entries zero. As an example of an uncommon use of mask matrix, the XLNet considers all masks of the form P M causal P − 1 {\displaystyle PM_{\text{causal}}P^{-1}} , where P {\displaystyle P} is a random permutation matrix .

  5. Cognitive module - Wikipedia

    en.wikipedia.org/wiki/Cognitive_module

    The modules that compute the speeds of incoming vehicles and tells you if you have time to cross without crashing into said vehicles. [7] The modules that cause parents to love and care for their children. [16] The libido modules. [17] Modules that specifically discern the movements of animals. [18] [19] The fight or flight reflex choice ...

  6. Opening sentence - Wikipedia

    en.wikipedia.org/wiki/Opening_sentence

    Techniques to hold the reader's attention include keeping the opening sentence to the point, showing attitude, shocking, and being controversial. [ 2 ] [ 3 ] One of the most famous opening lines, " It was the best of times, it was the worst of times ", starts a sentence of 118 words [ 4 ] that draws the reader in by its contradiction; the first ...

  7. Attention Is All You Need - Wikipedia

    en.wikipedia.org/wiki/Attention_Is_All_You_Need

    Scaled dot-product attention & self-attention. The use of the scaled dot-product attention and self-attention mechanism instead of a Recurrent neural network or Long short-term memory (which rely on recurrence instead) allow for better performance as described in the following paragraph. The paper described the scaled-dot production as follows:

  8. Attentional control - Wikipedia

    en.wikipedia.org/wiki/Attentional_control

    Sources of attention in the brain create a system of three networks: alertness (maintaining awareness), orientation (information from sensory input), and executive control (resolving conflict). [2] These three networks have been studied using experimental designs involving adults, children, and monkeys, with and without abnormalities of ...

  9. Writing in childhood - Wikipedia

    en.wikipedia.org/wiki/Writing_in_childhood

    Writing in childhood is the process of developing writing abilities during the early years of life, generally from infancy to adolescence.Writing in childhood encompasses the growth of writing abilities, including acquiring skills to write letters and words, comprehending grammar and sentence structure, and cultivating the capacity to communicate ideas and feelings through written language ...