Neural Network

A Neural Network is a computational model inspired by the structure of the human brain. It consists of layers of interconnected nodes (neurons), where each connection has a weight that adjusts as learning occurs.

Structure of a neural network:

• Input Layer: Receives raw data
• Hidden Layers: Process and transform data through weighted connections and activation functions
• Output Layer: Produces the final prediction or classification

Neural networks learn by adjusting connection weights through a process called backpropagation, minimizing the difference between predicted and actual outputs. Deep neural networks (with many hidden layers) form the foundation of modern deep learning.