2D convolution with separable filters.

2D convolution with separable filters.

k_separable_conv2d(x, depthwise_kernel, pointwise_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.
pointwise_kernel

kernel for the 1x1 convolution.
strides

strides list (length 2).
padding

string, "same" or "valid".
data_format

string, "channels_last" or "channels_first".
dilation_rate

list 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.