BatchNorm
class BatchNorm(axis: List<Int>, momentum: Double, center: Boolean, epsilon: Double, scale: Boolean, gammaInitializer: Initializer, betaInitializer: Initializer, gammaRegularizer: Regularizer?, betaRegularizer: Regularizer?, movingMeanInitializer: Initializer, movingVarianceInitializer: Initializer, name: String) : Layer, NoGradients, ParametrizedLayer
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NOTE: This layer is not trainable and does not update its weights. It's frozen by default.
Since
0.2
Constructors
BatchNorm
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fun BatchNorm(axis: List<Int> = arrayListOf(3), momentum: Double = 0.99, center: Boolean = true, epsilon: Double = 0.001, scale: Boolean = true, gammaInitializer: Initializer = Ones(), betaInitializer: Initializer = Zeros(), gammaRegularizer: Regularizer? = null, betaRegularizer: Regularizer? = null, movingMeanInitializer: Initializer = Zeros(), movingVarianceInitializer: Initializer = Ones(), name: String = "")
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Creates BatchNorm object.
Functions
Properties
betaInitializer
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betaRegularizer
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gammaInitializer
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gammaRegularizer
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hasActivation
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inboundLayers
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movingMeanInitializer
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movingVarianceInitializer
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outboundLayers
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outputShape
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paramCount
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parentModel
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