TensorFlow 1 version | View source on GitHub |
Upsampling layer for 2D inputs.
Inherits From: Layer
tf.keras.layers.UpSampling2D(
size=(2, 2), data_format=None, interpolation='nearest', **kwargs
)
Repeats the rows and columns of the data
by size[0]
and size[1]
respectively.
Arguments | |
---|---|
size
|
Int, or tuple of 2 integers. The upsampling factors for rows and columns. |
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".
|
interpolation
|
A string, one of nearest or bilinear .
|
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, upsampled_rows, upsampled_cols, channels)
- If
data_format
is"channels_first"
:(batch, channels, upsampled_rows, upsampled_cols)