tf.keras.layers.UpSampling2D

View source on GitHub

Upsampling layer for 2D inputs.

Inherits From: Layer

View aliases

Compat aliases for migration

See Migration guide for more details.

tf.compat.v1.keras.layers.UpSampling2D, `tf.compat.v2.keras.layers.UpSampling2D`

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)