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SILU from paperswithcode.com
Sigmoid Linear Units, or SiLUs, are activation functions for neural networks. The activation of the SiLU is computed by the sigmoid function multiplied by ...
SILU from pytorch.org
Applies the Sigmoid Linear Unit (SiLU) function, element-wise. The SiLU function is also known as the swish function.
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SILU from en.m.wikipedia.org
The musical film is based on a ballad in Nepal Bhasa written in the early 19th century which describes a journey to Silu, the sacred lake known as Gosaikunda ...
SILU from sh-tsang.medium.com
Jul 20, 2022 · SiLU vs ReLU. SiLU is proposed as an activation function for neural network function approximation in reinforcement learning.
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SILU from www.sigmaaldrich.com
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SILu™ Mab is a recombinant, stable isotope-labeled, human monoclonal antibody designed to be used as a universal internal standard for LC-MS/MS bioanalysis ...
Feb 10, 2017 · First, we propose two activation functions for neural network function approximation in reinforcement learning: the sigmoid-weighted linear unit ...
SILU from github.com
Nov 6, 2022 · The implementation through the functional library (F.silu()) gives me different result than from the torch library -- written as x * sigmoid(x).