This symbol represents the activation function. It maps real values to other real values in a non-linear way.
This symbol represents the activation function. It maps real values to other real values in a non-linear way. Typically used in neural networks to enable complex mappings based on the training dataset.
This symbol, \(\sigma\), represents the activation function. It maps real values to other real values in a non-linear way. Typically used in neural networks to enable complex mappings based on the training dataset.
Examples include Sigmoid, ReLU or tanh.