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  2. Residual neural network - Wikipedia

    en.wikipedia.org/wiki/Residual_neural_network

    A residual block in a deep residual network. Here, the residual connection skips two layers. A residual neural network (also referred to as a residual network or ResNet) [1] is a deep learning architecture in which the layers learn residual functions with reference to the layer inputs.

  3. Nanoimprint lithography - Wikipedia

    en.wikipedia.org/wiki/Nanoimprint_lithography

    Hence, it is important to consider the residual layer removal an integrated part of the overall nanoimprint patterning process. [25] [26] In a sense, the residual layer etch is similar to the develop process in conventional lithography. It has been proposed to combine photolithography and nanoimprint lithography techniques in one step in order ...

  4. Residual stress - Wikipedia

    en.wikipedia.org/wiki/Residual_stress

    Residual stress in a roll-formed hollow structural section causes it to gape when cut with a band-saw. In materials science and solid mechanics, residual stresses are stresses that remain in a solid material after the original cause of the stresses has been removed. Residual stress may be desirable or undesirable.

  5. Transformer (deep learning architecture) - Wikipedia

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

    The final points of detail are the residual connections and layer normalization (LayerNorm, or LN), which while conceptually unnecessary, are necessary for numerical stability and convergence. Similarly to how the feedforward network modules are applied individually to each vector, the LayerNorm is also applied individually to each vector.

  6. Weight initialization - Wikipedia

    en.wikipedia.org/wiki/Weight_initialization

    Residual connections gave rise to their own weight initialization problems and strategies. Fixup initialization is designed specifically for networks with residual connections and without batch normalization, as follows: [18] Initialize the classification layer and the last layer of each residual branch to 0.

  7. Highway network - Wikipedia

    en.wikipedia.org/wiki/Highway_network

    Every residual connection is a skip connection, but almost all skip connections are not residual connections. The original Highway Network paper [ 16 ] not only introduced the basic principle for very deep feedforward networks, but also included experimental results with 20, 50, and 100 layers networks, and mentioned ongoing experiments with up ...

  8. The best skin care routine for your 60s, according to ... - AOL

    www.aol.com/lifestyle/best-skin-care-routine-for...

    Best gentle cleanser for removing residual dirt Garnier SkinActive Micellar Water. ... and if necessary, use the retinol sandwich method, in which a layer of moisturizer is applied to the skin ...

  9. Shot peening - Wikipedia

    en.wikipedia.org/wiki/Shot_peening

    Shot peening is a cold working process used to produce a compressive residual stress layer and modify the mechanical properties of metals and composites. It entails striking a surface with shot (round metallic, glass, or ceramic particles) with force sufficient to create plastic deformation. [1] [2]