R: Multiply inputs by 'scale' and adds 'offset'

layer_rescaling {keras}

R Documentation

Multiply inputs by `scale` and adds `offset`

Multiply inputs by scale and adds offset

layer_rescaling(object, scale, offset = 0, ...)

`object`	What to compose the new `Layer` instance with. Typically a Sequential model or a Tensor (e.g., as returned by `layer_input()`). The return value depends on `object`. If `object` is: missing or `NULL`, the `Layer` instance is returned. a `Sequential` model, the model with an additional layer is returned. a Tensor, the output tensor from `layer_instance(object)` is returned.
`scale`	Float, the scale to apply to the inputs.
`offset`	Float, the offset to apply to the inputs.
`...`	standard layer arguments.

For instance:

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.

Input shape: Arbitrary.

Output shape: Same as input.