tf.keras.layers.ZeroPadding2D

TensorFlow 1 version View source on GitHub

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

Inherits From: Layer

tf.keras.layers.ZeroPadding2D(
    padding=(1, 1), data_format=None, **kwargs
)

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

padding Int, or tuple of 2 ints, or tuple of 2 tuples of 2 ints.

  • If int: the same symmetric padding is applied to height and width.
  • If tuple of 2 ints: interpreted as two different symmetric padding values for height and width: (symmetric_height_pad, symmetric_width_pad).
  • If tuple of 2 tuples 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".

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:

4D tensor with shape:

  • If data_format is "channels_last": (batch, padded_rows, padded_cols, channels)
  • If data_format is "channels_first": (batch, channels, padded_rows, padded_cols)