Become an expert in R — Interactive courses, Cheat Sheets, certificates and more!
Get Started for Free
Documentation
R
keras

k_conv3d_transpose

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

Description

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

Usage

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.

keras

R Interface to 'Keras'

v2.4.0
MIT + file LICENSE
Authors
Daniel Falbel [ctb, cph, cre], JJ Allaire [aut, cph], François Chollet [aut, cph], RStudio [ctb, cph, fnd], Google [ctb, cph, fnd], Yuan Tang [ctb, cph] (<https://orcid.org/0000-0001-5243-233X>), Wouter Van Der Bijl [ctb, cph], Martin Studer [ctb, cph], Sigrid Keydana [ctb]
Initial release

We don't support your browser anymore

Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.