tf.keras.layers.UpSampling2D | TensorFlow v2.0.0 (original) (raw)
tf.keras.layers.UpSampling2D
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Upsampling layer for 2D inputs.
Inherits From: Layer
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Compat aliases for migration
SeeMigration guide for more details.
tf.compat.v1.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_firstcorresponds 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_formatis"channels_last":(batch, rows, cols, channels) - If
data_formatis"channels_first":(batch, channels, rows, cols)
Output shape:
4D tensor with shape:
- If
data_formatis"channels_last":(batch, upsampled_rows, upsampled_cols, channels) - If
data_formatis"channels_first":(batch, channels, upsampled_rows, upsampled_cols)
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Last updated 2020-10-01 UTC.