tf.keras.layers.RandomFlip
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A preprocessing layer which randomly flips images during training.
Inherits From: Layer, Module
View aliases
Main aliases
tf.keras.layers.experimental.preprocessing.RandomFlip
Compat aliases for migration
See
Migration guide for
more details.
`tf.compat.v1.keras.layers.RandomFlip`, `tf.compat.v1.keras.layers.experimental.preprocessing.RandomFlip`
tf.keras.layers.RandomFlip(
mode=HORIZONTAL_AND_VERTICAL, seed=None, **kwargs
)
This layer will flip the images horizontally and or vertically 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.
For an overview and full list of preprocessing layers, see the preprocessing
guide.
|
|---|
3D (unbatched) or 4D (batched) tensor with shape:
(..., height, width, channels), in "channels_last" format.
|
Output shape |
|---|
3D (unbatched) or 4D (batched) tensor with shape:
(..., height, width, channels), in "channels_last" format.
|
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.
|
Except as otherwise noted, the content of this page is licensed under the Creative Commons Attribution 4.0 License, and code samples are licensed under the Apache 2.0 License. For details, see the Google Developers Site Policies. Java is a registered trademark of Oracle and/or its affiliates. Some content is licensed under the numpy license.
Last updated 2022-09-07 UTC.
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View source on GitHub