Introduction to Neural Networks

A neural network is a computational model that draws loose inspiration from the human brain. At its core, it is constructed from layers of interconnected units known as neurons.

When a neuron processes information, it follows a specific sequence of operations:

• It receives one or more input values.
• It multiplies these inputs by associated weights.
• It adds a bias term to the weighted sum.
• Finally, it passes this combined result through a non-linear activation function to produce its output.

This structure allows the network to process complex information and learn from data.