keras: layer_zero_padding_2d – R documentation

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keras

layer_zero_padding_2d

Zero-padding layer for 2D input (e.g. picture).

Description

This layer can add rows and columns of zeros at the top, bottom, left and right side of an image tensor.

Usage

layer_zero_padding_2d(
  object,
  padding = c(1L, 1L),
  data_format = NULL,
  batch_size = NULL,
  name = NULL,
  trainable = NULL,
  weights = NULL
)

Arguments

`object`	Model or layer object
`padding`	int, or list of 2 ints, or list of 2 lists of 2 ints. If int: the same symmetric padding is applied to width and height. If list of 2 ints: interpreted as two different symmetric padding values for height and width: `(symmetric_height_pad, symmetric_width_pad)`. If list of 2 lists of 2 ints: interpreted as `((top_pad, bottom_pad), (left_pad, right_pad))`
`data_format`	A string, one of `channels_last` (default) or `channels_first`. The ordering of the dimensions in the inputs. `channels_last` corresponds to inputs with shape `(batch, height, width, channels)` while `channels_first` corresponds to inputs with shape `(batch, channels, height, width)`. It defaults to the `image_data_format` value found in your Keras config file at `~/.keras/keras.json`. If you never set it, then it will be "channels_last".
`batch_size`	Fixed batch size for layer
`name`	An optional name string for the layer. Should be unique in a model (do not reuse the same name twice). It will be autogenerated if it isn't provided.
`trainable`	Whether the layer weights will be updated during training.
`weights`	Initial weights for layer.

Input shape

4D tensor with shape:

If data_format is "channels_last": (batch, rows, cols, channels)
If data_format is "channels_first": (batch, channels, rows, cols)

Output shape