k_separable_conv2d
2D convolution with separable filters.
Description
2D convolution with separable filters.
Usage
k_separable_conv2d(
x,
depthwise_kernel,
pointwise_kernel,
strides = c(1, 1),
padding = "valid",
data_format = NULL,
dilation_rate = c(1, 1)
) Arguments
| Arguments | Description |
|---|---|
| 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. |
Section
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.
Value
Output tensor.