Quick Answer
What is Neural Network?
A Neural Network is a computational model of interconnected nodes that transform inputs into outputs through learned weights.
Machine Learning
Neural Network
By Glintr Editorial TeamReviewed by Glintr Learn ReviewersUpdated 5 min readArea: Machine Learning
Definition
Neural networks are mathematical structures loosely inspired by biological neurons. Layers of nodes apply weighted transformations to an input, and the weights are adjusted during training so the network's outputs match the desired targets.
In technical terms
A feed-forward neural network is a sequence of linear layers with nonlinear activations. Training uses backpropagation to compute gradients of a loss with respect to weights, updated by an optimiser like Adam.
Real-world examples
- Image classifiers built from convolutional layers.
- Language models built from stacked transformer blocks.
Related Concepts
- Deep LearningDeep Learning is a type of machine learning that uses many-layered neural networks to learn complex patterns.
- Machine LearningMachine Learning is a branch of AI where systems learn patterns from data instead of following fixed rules.
- Artificial IntelligenceArtificial Intelligence is the field of building software systems that can perceive, reason, learn and generate content.