Jump to content

Activation function: Difference between revisions

Created page with "==Introduction== In machine learning, an activation function is a mathematical function applied to the output of a neuron in a neural network. The activation function determines the output of the neuron based on its input, and is a key component of the neural network architecture. ==What is an Activation Function?== An activation function is a non-linear function that is applied to the weighted sum of the inputs to a neuron. The activation function maps the input to a n..."
(Created page with "==Introduction== In machine learning, an activation function is a mathematical function applied to the output of a neuron in a neural network. The activation function determines the output of the neuron based on its input, and is a key component of the neural network architecture. ==What is an Activation Function?== An activation function is a non-linear function that is applied to the weighted sum of the inputs to a neuron. The activation function maps the input to a n...")
(No difference)