Rescaling layer

Rescaling class

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

Multiply inputs by scale and adds 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.

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.