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
| Arguments | Description |
|---|---|
| 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. |
Section
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.
Value
A tensor, result of transposed 3D convolution.