W3cubDocs

tf.keras.layers.RandomFlip

A preprocessing layer which randomly flips images during training.

Inherits From: Layer, Operation

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

Used in the notebooks

Used in the guide	Used in the tutorials
Working with preprocessing layers	Image segmentation Image classification Data augmentation Transfer learning and fine-tuning Retraining an Image Classifier

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. Input pixel values can be of any range (e.g. [0., 1.) or [0, 255]) and of integer or floating point dtype. By default, the layer will output floats.

Note: This layer is safe to use inside a tf.data pipeline (independently of which backend you're using).

Input shape
`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.

Args
`mode`	String indicating which flip mode to use. Can be `"horizontal"`, `"vertical"`, or `"horizontal_and_vertical"`. `"horizontal"` is a left-right flip and `"vertical"` is a top-bottom flip. Defaults to `"horizontal_and_vertical"`
`seed`	Integer. Used to create a random seed.
`**kwargs`	Base layer keyword arguments, such as `name` and `dtype`.

Attributes
`input`	Retrieves the input tensor(s) of a symbolic operation. Only returns the tensor(s) corresponding to the first time the operation was called.
`output`	Retrieves the output tensor(s) of a layer. Only returns the tensor(s) corresponding to the first time the operation was called.

Methods

`from_config`

View source

@classmethod
from_config(
    config
)

Creates a layer from its config.

This method is the reverse of get_config, capable of instantiating the same layer from the config dictionary. It does not handle layer connectivity (handled by Network), nor weights (handled by set_weights).

Args
`config`	A Python dictionary, typically the output of get_config.

Returns
A layer instance.

`symbolic_call`

View source

symbolic_call(
    *args, **kwargs
)

© 2022 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 4.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/api_docs/python/tf/keras/layers/RandomFlip