k_conv3d_transpose: 3D deconvolution (i.e. transposed convolution).

Description Usage Arguments Value Keras Backend

View source: R/backend.R

Description

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

Usage

1
2
3
4
5
6
7
8
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.


dfalbel/keras documentation built on Nov. 27, 2019, 8:16 p.m.