time_distributed: layer_time_distributed

In rstudio/keras: R Interface to 'Keras'

layer_time_distributed

Description

time_distributed() is an alias for layer_time_distributed(). See ⁠?⁠layer_time_distributed() for the full documentation.

Usage

time_distributed(object, layer, ...)

Arguments

object	Object to compose the layer with. A tensor, array, or sequential model.
layer	A Layer instance.
...	For forward/backward compatability.

Value

The return value depends on the value provided for the first argument. If object is:

• a keras_model_sequential(), then the layer is added to the sequential model (which is modified in place). To enable piping, the sequential model is also returned, invisibly.

• a keras_input(), then the output tensor from calling layer(input) is returned.

• NULL or missing, then a Layer instance is returned.

rstudio/keras documentation built on April 22, 2024, 11:43 p.m.