3D Pooling.

k_pool3d(
  x,
  pool_size,
  strides = c(1, 1, 1),
  padding = "valid",
  data_format = NULL,
  pool_mode = "max"
)

Arguments

x

Tensor or variable.

pool_size

list of 3 integers.

strides

list of 3 integers.

padding

string, "same" or "valid".

data_format

string, "channels_last" or "channels_first".

pool_mode

string, "max" or "avg".

Value

A tensor, result of 3D pooling.

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.