Artificial Neural Network : An Overview | LearnCPlusPlus

https://learncplusplus.org/how....-to-convert-u32strin

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

Hopfield Network - an overview | Learn CPlusPlus
The purpose of a Hopfield Network is to store data patterns and to recall the full data pattern based on partial input. For example, a Hopfield Network can be applied to 8×8 digit character recognition from pixels. We can train some characters on this network and then we can ask a closer drawing character if it remembers the trained one or not. For more information about Hopfield Network, visit the Learn CPlusPlus blog. Visit: https://shorturl.at/vjCo5