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tf.keras.layers.UpSampling2D

TensorFlow 2.0 version View source on GitHub

Class UpSampling2D

Upsampling layer for 2D inputs.

Inherits From: Layer

Aliases:

  • Class tf.compat.v1.keras.layers.UpSampling2D
  • Class tf.compat.v2.keras.layers.UpSampling2D

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)

__init__

View source

__init__(
    size=(2, 2),
    data_format=None,
    interpolation='nearest',
    **kwargs
)