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| data_mining:neural_network:tuning [2018/05/20 15:16] – [Algo] phreazer | data_mining:neural_network:tuning [2018/05/20 15:21] (current) – [Batch norm at test time] phreazer | ||
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| * Batch norm reduces amount in which hidden units shifts around, become more stable (input to later layers) | * Batch norm reduces amount in which hidden units shifts around, become more stable (input to later layers) | ||
| * Slight regularization effect: Adds some noise, because it's normed on the mini batch | * Slight regularization effect: Adds some noise, because it's normed on the mini batch | ||
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| + | ==== Batch norm at test time ==== | ||
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| + | Here no mini-batch, but one sample at a time | ||
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| + | Estimate $\sigma^2, \mu$ using exponentially weighted average across mini-batches | ||