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Machine Learning

Neural Network

Reviewed by Glintr Learn ReviewersUpdated 5 min readArea: Machine Learning
Quick Answer

What is Neural Network?

A Neural Network is a computational model of interconnected nodes that transform inputs into outputs through learned weights.

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.
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