|---| | [ View source on GitHub](https://github.com/keras-team/keras/tree/v2.15.0/keras/preprocessing/image.py#L2303-L2366) | Performs a random spatial zoom of a Numpy image tensor. tf.keras.preprocessing.image.random_zoom( x, zoom_range, row_axis=1, col_axis=2, channel_axis=0, fill_mode='nearest', cval=0.0, interpolation_order=1 ) > [!WARNING] > **Deprecated:** [`tf.keras.preprocessing.image.random_zoom`](https://www.tensorflow.org/versions/r2.15/api_docs/python/tf/keras/preprocessing/image/random_zoom) does not operate on tensors and is not recommended for new code. Prefer [`tf.keras.layers.RandomZoom`](https://www.tensorflow.org/versions/r2.15/api_docs/python/tf/keras/layers/RandomZoom) which provides equivalent functionality as a preprocessing layer. For more information, see the tutorial for [augmenting images](https://www.tensorflow.org/tutorials/images/data_augmentation), as well as the [preprocessing layer guide](https://www.tensorflow.org/guide/keras/preprocessing_layers).


| ## Args || |---|---| | `x` | Input tensor. Must be 3D. | | `zoom_range` | Tuple of floats; zoom range for width and height. | | `row_axis` | Index of axis for rows in the input tensor. | | `col_axis` | Index of axis for columns in the input tensor. | | `channel_axis` | Index of axis for channels in the input tensor. | | `fill_mode` | Points outside the boundaries of the input are filled according to the given mode (one of `{'constant', 'nearest', 'reflect', 'wrap'}`). | | `cval` | Value used for points outside the boundaries of the input if `mode='constant'`. | | `interpolation_order` | int, order of spline interpolation. see `ndimage.interpolation.affine_transform` |



| ## Returns || |---|---| | Zoomed Numpy image tensor. ||



| ## Raises || |---|---| | `ValueError` | if `zoom_range` isn't a tuple. |