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)
)
Output tensor.
input tensor
convolution kernel for the depthwise convolution.
kernel for the 1x1 convolution.
strides list (length 2).
string, "same"
or "valid"
.
string, "channels_last"
or "channels_first"
.
list of integers, dilation rates for the separable convolution.
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://tensorflow.rstudio.com/reference/keras/index.html#backend.