3D deconvolution (i.e. transposed convolution).

3D deconvolution (i.e. transposed convolution).

k_conv3d_transpose(x, kernel, output_shape, strides = c(1, 1, 1),
  padding = "valid", data_format = NULL)

Arguments

x

input tensor.
kernel

kernel tensor.
output_shape

1D int tensor for the output shape.
strides

strides
padding

string, "same" or "valid".
data_format

string, "channels_last" or "channels_first". Whether to use Theano or TensorFlow/CNTK data format for inputs/kernels/outputs.

Value

A tensor, result of transposed 3D convolution.

Keras Backend

This function is part of a set of Keras backend functions that enable lower level access to the core operations of the backend tensor engine (e.g. TensorFlow, CNTK, Theano, etc.).

You can see a list of all available backend functions here: https://keras.rstudio.com/articles/backend.html#backend-functions.