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Home/Glossary/Weight
AI Glossary Term

What does “Weight” mean?

Definition

A learned numeric value that scales signals passing through a neural network.

Related terms

Backpropagation
The core training algorithm that updates model weights by propagating prediction errors backward through the network.
Convolutional Neural Network (CNN)
A neural architecture optimized for processing grid-like data such as images.
Neural Network
A layered computational model inspired by biological neurons and synapses.
Parameter
A learned weight inside a model that influences its outputs.
Decision Tree
A model that makes predictions through a sequence of if-then feature splits.
Deep Learning
A subset of machine learning that uses many-layer neural networks for representation learning.

Learn more in our free guides

Open WeightsWeight Decay and L2 RegularizationStochastic Weight AveragingWeights & Biases

See also

Weak SupervisionWord EmbeddingVision-Language Model (VLM)XAI (Explainable AI)Vector DatabaseZero-Shot LearningValidation SetAgentic Workflow
PreviousWeak SupervisionNextWord Embedding
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