Randomly rotate each image.
Inherits From: Layer
tf.keras.layers.experimental.preprocessing.RandomRotation( factor, fill_mode='reflect', interpolation='bilinear', seed=None, name=None, **kwargs )
By default, random rotations are only applied during training. At inference time, the layer does nothing. If you need to apply random rotations at inference time, set training
to True when calling the layer.
4D tensor with shape: (samples, height, width, channels)
, data_format='channels_last'.
4D tensor with shape: (samples, height, width, channels)
, data_format='channels_last'.
4D tensor with shape: (samples, height, width, channels)
, data_format='channels_last'.
4D tensor with shape: (samples, height, width, channels)
, data_format='channels_last'.
Raise  

ValueError  if either bound is not between [0, 1], or upper bound is less than lower bound. 
Attributes  

factor  a float represented as fraction of 2pi, or a tuple of size 2 representing lower and upper bound for rotating clockwise and counterclockwise. A positive values means rotating counter clockwise, while a negative value means clockwise. When represented as a single float, this value is used for both the upper and lower bound. For instance, factor=(0.2, 0.3) results in an output rotation by a random amount in the range [20% * 2pi, 30% * 2pi] . factor=0.2 results in an output rotating by a random amount in the range [20% * 2pi, 20% * 2pi] . 
fill_mode  Points outside the boundaries of the input are filled according to the given mode (one of {'constant', 'reflect', 'wrap'} ).

interpolation  Interpolation mode. Supported values: "nearest", "bilinear". 
seed  Integer. Used to create a random seed. 
name  A string, the name of the layer. 
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Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r2.3/api_docs/python/tf/keras/layers/experimental/preprocessing/RandomRotation