BatchNorm vs LayerNorm: A Comprehensive PyTorch Tutorial
In this tutorial, we dive deep into two fundamental normalization techniques in deep learning: Batch Normalization and Layer Normalization. Learn the key differences, when to use each, and practical implementation tips in PyTorch.
📚 CHAPTERS:
00:00 BatchNorm vs LayerNorm: A Comprehensive PyTorch Tutorial
01:11 Part 1: Batch Normalization
04:02 Part 2: Layer Normalization
06:20 Key Differences Between BatchNorm and LayerNorm
07:10 Training vs Evaluation Behavior
07:59 Batch Size Sensitivity
08:43 Why LayerNorm is More Popular Recently
10:32 Practical Guidelines
11:44 Conclusion
