tf.keras.layers.experimental.preprocessing.Rescaling

Multiply inputs by scale and adds offset.

Inherits From: Layer

View aliases

Compat aliases for migration

See Migration guide for more details.

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

tf.keras.layers.experimental.preprocessing.Rescaling(
    scale, offset=0.0, name=None, **kwargs
)

For instance:

1. To rescale an input in the [0, 255] range to be in the [0, 1] range, you would pass scale=1./255.

2. To rescale an input in the [0, 255] range to be in the [-1, 1] range, you would pass scale=1./127.5, offset=-1.

The rescaling is applied both during training and inference.

Input shape:

Arbitrary.

Output shape:

Same as input.

Arguments
scale	Float, the scale to apply to the inputs.
offset	Float, the offset to apply to the inputs.
name	A string, the name of the layer.