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GlossaryDeep LearningDeep Belief Networks

Deep Belief Networks

[diːp bɪˈliːf ˈnɛtwɜːks]
Deep Learning
Last updated: December 9, 2024

Definition

Probabilistic generative models composed of multiple layers of stochastic latent variables

Detailed Explanation

DBNs are composed of stacked Restricted Boltzmann Machines (RBMs) that learn to represent data through unsupervised learning. They use layer-wise pre-training followed by fine-tuning to learn hierarchical representations of data.

Use Cases

Feature extraction, dimensionality reduction, pattern recognition, classification

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