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k_depthwise_conv2d

Depthwise 2D convolution with separable filters.


Description

Depthwise 2D convolution with separable filters.

Usage

k_depthwise_conv2d(
  x,
  depthwise_kernel,
  strides = c(1, 1),
  padding = "valid",
  data_format = NULL,
  dilation_rate = c(1, 1)
)

Arguments

x

input tensor

depthwise_kernel

convolution kernel for the depthwise convolution.

strides

strides (length 2).

padding

string, "same" or "valid".

data_format

string, "channels_last" or "channels_first".

dilation_rate

vector of integers, dilation rates for the separable convolution.

Value

Output tensor.

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

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