tf.keras.layers.experimental.preprocessing.RandomFlip

Randomly flip each image horizontally and vertically.

Inherits From: Layer

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Compat aliases for migration

See Migration guide for more details.

tf.compat.v1.keras.layers.experimental.preprocessing.RandomFlip

tf.keras.layers.experimental.preprocessing.RandomFlip(
    mode=HORIZONTAL_AND_VERTICAL, seed=None, name=None, **kwargs
)

This layer will flip the images based on the mode attribute. During inference time, the output will be identical to input. Call the layer with training=True to flip the input.

Input shape:

4D tensor with shape: (samples, height, width, channels), data_format='channels_last'.

Output shape:

4D tensor with shape: (samples, height, width, channels), data_format='channels_last'.

Attributes
mode	String indicating which flip mode to use. Can be "horizontal", "vertical", or "horizontal_and_vertical". Defaults to "horizontal_and_vertical". "horizontal" is a left-right flip and "vertical" is a top-bottom flip.
seed	Integer. Used to create a random seed.
name	A string, the name of the layer.