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Home
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Glossary
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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 Weights
Weight Decay and L2 Regularization
Stochastic Weight Averaging
Weights & Biases
See also
Weak Supervision
Word Embedding
Vision-Language Model (VLM)
XAI (Explainable AI)
Vector Database
Zero-Shot Learning
Validation Set
Agentic Workflow
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