Abstract: Gaussian Mixture Function (GMF) is a widely utilized model for analyzing and elucidating experimental data in science and engineering, where the fitting of GMF with noisy observations is ...
Abstract: Activation functions are essential components in any neural network model; they play a crucial role in determining the network’s expressive power through their introduced non-linearity.
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