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Image resizing layer.

Inherits From: PreprocessingLayer, Layer, Module

Used in the notebooks

Used in the tutorials

Resize the batched image input to target height and width. The input should be a 4-D tensor in the format of NHWC.

height Integer, the height of the output shape.
width Integer, the width of the output shape.
interpolation String, the interpolation method. Defaults to bilinear. Supports bilinear, nearest, bicubic, area, lanczos3, lanczos5, gaussian, mitchellcubic
name A string, the name of the layer.



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Fits the state of the preprocessing layer to the data being passed.

data The data to train on. It can be passed either as a Dataset, or as a numpy array.
reset_state Optional argument specifying whether to clear the state of the layer at the start of the call to adapt, or whether to start from the existing state. This argument may not be relevant to all preprocessing layers: a subclass of PreprocessingLayer may choose to throw if 'reset_state' is set to False.