1. Questions and Aims (6 min)
2. Bagging (7 min)
2*. Theory of Bagging (12 min)
3. Dropout (8 min)
4. Data augmentation (6 min)
5. Weight initialization (19 min)
6. Vanishing Gradient Problem (9 min)
7. Weight update: mean input and bias problem (11 min)
8. Batch normalization (7 min)
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