module 'tensorflow.keras.utils' has no attribute 'image_dataset_from_directory'

This error message typically occurs when using an outdated version of TensorFlow. The method `image_dataset_from_directory` was introduced in TensorFlow 2.2.0.

To resolve this error, you can update your TensorFlow version to 2.2.0 or later. You can do this by running `!pip install --upgrade tensorflow` in your Python environment.

Alternatively, you can use the `ImageDataGenerator` class from `tensorflow.keras.preprocessing.image` to generate image data from directories. Here's an example:

from tensorflow.keras.preprocessing.image import ImageDataGenerator

train_generator = ImageDataGenerator().flow_from_directory(
        'path/to/train_directory',
        target_size=(224, 224),
        batch_size=32,
        class_mode='binary')

test_generator = ImageDataGenerator().flow_from_directory(
        'path/to/test_directory',
        target_size=(224, 224),
        batch_size=32,
        class_mode='binary')

This will generate image data from the directories specified and return generator objects that can be used for training and testing.