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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
.
For instance:
To rescale an input in the
[0, 255]
range to be in the[0, 1]
range, you would passscale=1./255
.To rescale an input in the
[0, 255]
range to be in the[-1, 1]
range, you would passscale=1./127.5, offset=-1
.
The rescaling is applied both during training and inference.
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. |