Keras’s ImageDataGenerator and tf.keras.layers.experimental.preprocessing module offer powerful tools for image augmentation in deep learning models. By integrating augmentation layers directly into model architecture, users benefit from on-the-fly processing, GPU acceleration, and streamlined deployment. Key layers include RandomFlip, RandomRotation, and RandomZoom, enhancing dataset variability and model performance.