인공 뉴런
In machine learning, a distinct unit within a hidden layer of a neural network. Each neuron performs the following two-step action:
- Calculates the weighted sum of input values multiplied by their corresponding weights.
- Passes the weighted sum as input to an activation function.
A neuron in the first hidden layer accepts inputs from the feature values in the Input layer. A neuron in any hidden layer beyond the first accepts inputs from the neurons in the preceding hidden layer. For example, a neuron in the second hidden layer accepts inputs from the neurons in the first hidden layer.1