2D deconvolution (i.e. transposed convolution).
k_conv2d_transpose(x, kernel, output_shape, strides = c(1, 1),
padding = "valid", data_format = NULL)
Tensor or variable.
kernel tensor.
1D int tensor for the output shape.
strides list.
string, "same"
or "valid"
.
string, "channels_last"
or "channels_first"
. Whether
to use Theano or TensorFlow/CNTK data format for inputs/kernels/outputs.
A tensor, result of transposed 2D convolution.
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.