ZeroPadding2D
classkeras.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.
Example
>>> input_shape = (1, 1, 2, 2)
>>> x = np.arange(np.prod(input_shape)).reshape(input_shape)
>>> x
[[[[0 1]
[2 3]]]]
>>> y = keras.layers.ZeroPadding2D(padding=1)(x)
>>> y
[[[[0 0]
[0 0]
[0 0]
[0 0]]
[[0 0]
[0 1]
[2 3]
[0 0]]
[[0 0]
[0 0]
[0 0]
[0 0]]]]
Arguments
(symmetric_height_pad, symmetric_width_pad)
.((top_pad, bottom_pad), (left_pad, right_pad))
."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 Keras
config file at ~/.keras/keras.json
(if exists). Defaults to
"channels_last"
.Input shape
4D tensor with shape:
- If data_format
is "channels_last"
:
(batch_size, height, width, channels)
- If data_format
is "channels_first"
:
(batch_size, channels, height, width)
Output shape
4D tensor with shape:
- If data_format
is "channels_last"
:
(batch_size, padded_height, padded_width, channels)
- If data_format
is "channels_first"
:
(batch_size, channels, padded_height, padded_width)