A preprocessing layer which rescales input values to a new range.
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
.
To rescale an input in the [0, 255]
range to be in the [0, 1]
range, you would pass scale=1./255
.
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.
Arbitrary.
Same as input.
Args | |
---|---|
scale | Float, the scale to apply to the inputs. |
offset | Float, the offset to apply to the inputs. |
© 2022 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 4.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r2.9/api_docs/python/tf/keras/layers/Rescaling