Completed
- Intro & Overview
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Classroom Contents
NFNets - High-Performance Large-Scale Image Recognition Without Normalization
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- 1 - Intro & Overview
- 2 - What's the problem with BatchNorm?
- 3 - Paper contribution Overview
- 4 - Beneficial properties of BatchNorm
- 5 - Previous work: NF-ResNets
- 6 - Adaptive Gradient Clipping
- 7 - AGC and large batch size
- 8 - AGC induces implicit dependence between training samples
- 9 - Are BatchNorm's problems solved?
- 10 - Network architecture improvements
- 11 - Comparison to EfficientNet
- 12 - Conclusion & Comments
