Artificial Intelligence
The Sigmoid Function: A Key Tool in Neural Networks
The sigmoid function compresses any real value into the range (0, 1), making it the natural activation function for modelling probabilities in neural networks. It is differentiable everywhere, enabling training via backpropagation, though it suffers from saturation and vanishing gradients in deep layers, where ReLU and tanh have taken over.