API Reference - ConvolutionLayers

Constructors

FastConvolution1D 


ConvolutionLayers.FastConvolution1D{tensor: tensor, weightTensor: tensor, strideDimensionSize: number}: AutomaticDifferentiationTensor

Parameters:

  • tensor: The tensor that will be used as inputs.

  • weightTensor: The tensor that will be used as the weights.

  • strideDimensionSize: The dimension size for the stride. [Default: 1]

Returns:

  • AutomaticDifferentiationTensor: The automatic differentiation tensor that is created as a result of calling this function.

FastConvolution2D 


ConvolutionLayers.FastConvolution2D{tensor: tensor, weightTensor: tensor, strideDimensionSizeArray: {number}}: AutomaticDifferentiationTensor

Parameters:

  • tensor: The tensor that will be used as inputs.

  • weightTensor: The tensor that will be used as the weights.

  • strideDimensionSizeArray: The dimension size for the stride. The index of the array represents the dimension and the value represents the size for that particular dimension. [Default: {1, 1}]

Returns:

  • AutomaticDifferentiationTensor: The automatic differentiation tensor that is created as a result of calling this function.

FastConvolution3D 


ConvolutionLayers.FastConvolution3D{tensor: tensor, weightTensor: tensor, strideDimensionSizeArray: {number}}: AutomaticDifferentiationTensor

Parameters:

  • tensor: The tensor that will be used as inputs.

  • weightTensor: The tensor that will be used as the weights.

  • strideDimensionSizeArray: The dimension size for the stride. The index of the array represents the dimension and the value represents the size for that particular dimension. [Default: {1, 1, 1}]

Returns:

  • AutomaticDifferentiationTensor: The automatic differentiation tensor that is created as a result of calling this function.