Conv3DTranspose

fun Conv3DTranspose(filters: Int = 3, kernelSize: Int = 3, strides: Int = 1, dilations: Int = 1, activation: Activations = Activations.Relu, kernelInitializer: Initializer = HeNormal(), biasInitializer: Initializer = HeUniform(), kernelRegularizer: Regularizer? = null, biasRegularizer: Regularizer? = null, activityRegularizer: Regularizer? = null, padding: ConvPadding = ConvPadding.SAME, useBias: Boolean = true, name: String = "")

fun Conv3DTranspose(filters: Int = 3, kernelSize: IntArray = intArrayOf(3, 3, 3), strides: IntArray = intArrayOf(1, 1, 1, 1, 1), dilations: IntArray = intArrayOf(1, 1, 1, 1, 1), activation: Activations = Activations.Relu, kernelInitializer: Initializer = HeNormal(), biasInitializer: Initializer = HeUniform(), kernelRegularizer: Regularizer? = null, biasRegularizer: Regularizer? = null, activityRegularizer: Regularizer? = null, padding: ConvPadding = ConvPadding.SAME, useBias: Boolean = true, name: String = "")

Parameters

filters

dimensionality of the output space (i.e. the number of filters in the convolution)

activation

activation function

kernelInitializer

initializer for the kernel

biasInitializer

initializer for the bias

kernelRegularizer

regularizer for the kernel

biasRegularizer

regularizer for the bias

activityRegularizer

regularizer function applied to the output of the layer

padding

type of padding to use

useBias

a flag that specifies if the bias should be used

name

custom layer name