Learning the basic concepts of a neural network
A neural network, also known as an artificial neural network (ANN), is an AI model designed to process information in a way similar to the human brain. It transmits signals between interconnected neurons, enabling the network to learn patterns and make decisions based on input data.
A neural network is made up of layers of interconnected nodes, called neurons. A neuron connection can also be called a synapse. Each connection between neurons has a weight, which adjusts as the network learns from data. Signals are transmitted between neurons, enabling the network to learn patterns and make decisions based on input data.
A neural network basically has three layers:
- Input layer: This layer receives the raw data or inputs, such as images, text, or numbers.
- Hidden layers: These layers process the input data through mathematical operations and extract patterns or features. A network can have multiple hidden layers,...
