► Keras 2 API documentation / Layers API / Preprocessing layers / Image preprocessing layers / Rescaling layer

Rescaling layer

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Rescaling class

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

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

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.

Arguments

  • scale: Float, the scale to apply to the inputs.
  • offset: Float, the offset to apply to the inputs.
Rescaling layer
Rescaling class