Keras 3 API documentation Keras 2 API documentation
Models API Layers API The base Layer class Layer activations Layer weight initializers Layer weight regularizers Layer weight constraints Core layers Convolution layers Pooling layers Recurrent layers Preprocessing layers Normalization layers Regularization layers Attention layers Reshaping layers Merging layers Activation layers Callbacks API Optimizers Metrics Losses Data loading Built-in small datasets Keras Applications Mixed precision Utilities
► Keras 2 API documentation / Layers API / Reshaping layers / ZeroPadding2D layer

ZeroPadding2D layer

[source]

ZeroPadding2D class

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

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

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

Examples

>>> input_shape = (1, 1, 2, 2)
>>> x = np.arange(np.prod(input_shape)).reshape(input_shape)
>>> print(x)
[[[[0 1]
   [2 3]]]]
>>> y = tf.keras.layers.ZeroPadding2D(padding=1)(x)
>>> print(y)
tf.Tensor(
  [[[[0 0]
     [0 0]
     [0 0]
     [0 0]]
    [[0 0]
     [0 1]
     [2 3]
     [0 0]]
    [[0 0]
     [0 0]
     [0 0]
     [0 0]]]], shape=(1, 3, 4, 2), dtype=int64)

Arguments

  • 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_size, height, width, channels) while channels_first corresponds to inputs with shape (batch_size, channels, height, width). When unspecified, uses image_data_format value found in your TF-Keras config file at ~/.keras/keras.json (if exists) else 'channels_last'. Defaults to 'channels_last'.

Input shape

4D tensor with shape: - If data_format is "channels_last": (batch_size, rows, cols, channels) - If data_format is "channels_first": (batch_size, channels, rows, cols)

Output shape

4D tensor with shape: - If data_format is "channels_last": (batch_size, padded_rows, padded_cols, channels) - If data_format is "channels_first": (batch_size, channels, padded_rows, padded_cols)

ZeroPadding2D layer
ZeroPadding2D class