Artificial Intelligence & Machine Learning
Neuron
Definition
In an artificial neural network, a neuron (or node) is the basic computational unit. It receives one or more inputs, applies a mathematical function to them, and produces an output.
Why It Matters
Neurons are the building blocks of neural networks. The complex behavior of a neural network emerges from the interactions of many simple neurons.
Contextual Example
A neuron takes several input values, multiplies each by a "weight," sums them up, adds a "bias," and then passes the result through an "activation function" to produce its output. This output is then fed as an input to other neurons in the next layer.
Common Misunderstandings
- The "learning" in a neural network happens by adjusting the weights and biases of its neurons.
- It is a loose mathematical abstraction of a biological neuron.