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3 results for “normalisation”
Foundations
Batch Normalisation
Batch normalisation is a deep learning technique that normalises the activations of each layer within a mini-batch to accelerate training and improve model stability.
5 min readUpdated May 2026
Foundations
BM25
BM25 (Best Matching 25) is a probabilistic ranking function used in information retrieval that scores documents based on query term frequency, inverse document frequency, and document length normalisation.
7 min readUpdated June 2026
Foundations
Layer Normalisation
Layer normalisation is a technique that normalises the inputs across the features of a single training example, stabilising and accelerating the training of deep neural networks, especially transformers.
4 min readUpdated June 2026