tf.keras.layers.experimental.preprocessing.Resizing
bookmark_border Stay organized with collections Save and categorize content based on your preferences.

Image resizing layer.

Inherits From: Layer

Compat aliases for migration

See Migration guide for more details.

tf.keras.layers.experimental.preprocessing.Resizing(
    height, width, interpolation='bilinear', name=None, **kwargs
)

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

Arguments
`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.

Except as otherwise noted, the content of this page is licensed under the Creative Commons Attribution 4.0 License, and code samples are licensed under the Apache 2.0 License. For details, see the Google Developers Site Policies. Java is a registered trademark of Oracle and/or its affiliates.

Last updated 2020-10-01 UTC.

tf.keras.layers.experimental.preprocessing.Resizing bookmark_borderbookmark Stay organized with collections Save and categorize content based on your preferences.