tf.keras.layers.RandomFlip | TensorFlow v2.16.1 (original) (raw)
tf.keras.layers.RandomFlip
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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 themode 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.
| 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 asname 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
@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
symbolic_call(
*args, **kwargs
)