case class TanhTransform[FV](inner: Transform[FV, DenseVector[Double]]) extends Transform[FV, DenseVector[Double]] with Product with Serializable
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Instance Constructors
- new TanhTransform(numOutputs: Int, numInputs: Int, includeBias: Boolean = true)(implicit mult: breeze.linalg.operators.OpMulMatrix.Impl2[DenseMatrix[Double], FV, DenseVector[Double]], canaxpy: breeze.linalg.scaleAdd.InPlaceImpl3[DenseVector[Double], Double, FV])
- new TanhTransform(inner: Transform[FV, DenseVector[Double]])
Type Members
- case class Layer (innerLayer: Transform.Layer) extends Transform.Layer[FV, DenseVector[Double]] with Product with Serializable
Value Members
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final
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def
clipHiddenWeightVectors(weights: DenseVector[Double], norm: Double, outputLayer: Boolean): Unit
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- TanhTransform → Transform
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def
clone(): AnyRef
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def
extractLayer(dv: DenseVector[Double], forTrain: Boolean): Layer
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- TanhTransform → Transform
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def
finalize(): Unit
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def
getInterestingWeightIndicesForGradientCheck(offset: Int): Seq[Int]
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- TanhTransform → Transform
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val
index: Transform.index.type
- Definition Classes
- TanhTransform → Transform
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def
initialWeightVector(initWeightsScale: Double, rng: Random, outputLayer: Boolean, spec: String): DenseVector[Double]
- Definition Classes
- TanhTransform → Transform
- val inner: Transform[FV, DenseVector[Double]]
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