Meaning
A computational model inspired by the human brain’s network of neurons.
Definition
Neural networks consist of interconnected nodes that process information and learn from data inputs.
Each node, or neuron, contributes to the overall decision-making process by passing along its output to other nodes, forming a layered structure.
This architecture allows neural networks to detect patterns in complex datasets, making them highly effective in tasks such as image classification, language processing, and even driving autonomous vehicles.
Example
Self-driving cars rely on neural networks to interpret data from sensors and cameras, allowing the vehicle to navigate safely.
The neural network processes vast amounts of information in real-time, such as the location of nearby objects and the condition of the road, to make decisions that mimic human driving behavior.
