DeconvolutionLayer

DeconvolutionLayer[n, sz] represents a trainable deconvolutional net layer having n output channels and using kernels of size sz to compute the deconvolution.

DeconvolutionLayer[n, {s}] represents a layer performing one-dimensional deconvolutions with kernels of size s.

DeconvolutionLayer[n, {h, w}] represents a layer performing two-dimensional deconvolutions with kernels of size h×w.

DeconvolutionLayer[n, kernel, opts] includes options for initial kernels and other parameters.

Examples

Create a 2D deconvolution layer:

DeconvolutionLayer[32, {3, 3}]

Please visit the official Wolfram Language Reference for more details.