aktivaatiofunktiosta
Activation function in Finnish is aktivaatiofunktio. An activation function is a core component in artificial neural networks. Its purpose is to introduce non-linearity into the output of a neuron. Without activation functions, a neural network would simply be a series of linear transformations, capable of learning only linear relationships. The non-linearity provided by activation functions allows neural networks to learn complex patterns and model intricate data relationships, which is crucial for tasks like image recognition, natural language processing, and more.
There are various types of activation functions, each with its own characteristics and use cases. Some common