Sigmoid Linear Units, or SiLUs, are activation functions for neural networks. The activation of the SiLU is computed by the sigmoid function multiplied by ...
Applies the Sigmoid Linear Unit (SiLU) function, element-wise. The SiLU function is also known as the swish function.
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Apr 6, 2024 · The SiLU (Sigmoid-weighted Linear Unit) activation function is a relatively new contender in the world of neural network activation functions.
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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Feb 10, 2017 · First, we propose two activation functions for neural network function approximation in reinforcement learning: the sigmoid-weighted linear unit ...