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tf.keras.layers.experimental.preprocessing.Rescaling

Multiply inputs by scale and adds offset.

Inherits From: Layer

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.

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Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r2.3/api_docs/python/tf/keras/layers/experimental/preprocessing/Rescaling