Depthwise 2D convolution with separable filters.
k_depthwise_conv2d(x, depthwise_kernel, strides = c(1, 1),
padding = "valid", data_format = NULL, dilation_rate = c(1, 1))
input tensor
convolution kernel for the depthwise convolution.
strides (length 2).
string, "same"
or "valid"
.
string, "channels_last"
or "channels_first"
.
vector of integers, dilation rates for the separable convolution.
Output tensor.
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.