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Layer Normalization From Scratch - Tutorial

Learn layer normalization from first principles and see why it is used throughout transformers, neural networks, and modern AI systems. This tutorial explains mean, variance, standard deviation, gamma, beta, and how normalization stabilizes activations inside each vector embedding.

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Chapters:
0:00 What layer normalization is
0:45 Mean and variance in a vector
2:20 Standard deviation and epsilon
4:10 Gamma and beta parameters
6:00 Why layer norm helps training

Видео Layer Normalization From Scratch - Tutorial канала Vuk Rosić
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