tf.keras.layers.Rescaling

A preprocessing layer which rescales input values to a new range.

Inherits From: Layer, Module

View aliases

Main aliases

tf.keras.layers.experimental.preprocessing.Rescaling

Compat aliases for migration

See Migration guide for more details.

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

tf.keras.layers.Rescaling(
    scale, offset=0.0, **kwargs
)

This layer rescales every value of an input (often an image) by multiplying by scale and adding offset.

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. Inputs can be of integer or floating point dtype, and by default the layer will output floats.

For an overview and full list of preprocessing layers, see the preprocessing guide.

Input shape
Arbitrary.

Output shape
Same as input.

Args
scale	Float, the scale to apply to the inputs.
offset	Float, the offset to apply to the inputs.