k_conv2d: 2D convolution.

In dfalbel/keras: R Interface to 'Keras'

Description

2D convolution.

Usage

k_conv2d(
  x,
  kernel,
  strides = c(1, 1),
  padding = "valid",
  data_format = NULL,
  dilation_rate = c(1, 1)
)

Arguments

x	Tensor or variable.
kernel	kernel tensor.
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.
dilation_rate	vector of 2 integers.

Value

A tensor, result of 2D 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.