Gaussian Activation Function | Learn CPlusPlus
The Gaussian activation function is a smooth, bell-shaped function used in neural networks, particularly in radial basis function (RBF) networks. It models data with localized, non-linear behavior by responding forcefully to inputs near the mean and weakly to those further away. This helps the network capture patterns and relationships, making it ideal for tasks like classification, clustering, and regression. For more information about the Gaussian activation, visit the Learn CPlusPlus blog. Visit: https://shorturl.at/GKiB5
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