GLOSSARY TERM
What is Layer Normalization?
A technique standardizing inputs across the features for a single training example.
Unlike batch normalization, layer normalization computes the mean and variance independently for each sample. This makes it highly effective for recurrent architectures and Transformer models where sequence lengths vary significantly.
Stabilize Transformers
Utilize robust normalization strategies via automated MLOps pipelines.