Depthwise 2D convolution with separable filters.
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))Arguments
| x | input tensor |
| depthwise_kernel | convolution kernel for the depthwise convolution. |
| strides | strides (length 2). |
| padding | string, |
| data_format | string, |
| 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.