Issue Type
Documentation Bug
Source
binary
Keras Version
3.11.3
Custom Code
No
OS Platform and Distribution
WSL Ubuntu 22.04
Python version
3.10
GPU model and memory
None
Current Behavior?
Option 2 of preprocess the data
augmented_train_ds = train_ds.map(
lambda x, y: (data_augmentation(x, training=True), y))
Not sure if this is just an example or is actual code to be run, but data_augmentation function defined earlier doesn't have a training named parameter.
Standalone code to reproduce the issue or tutorial link
https://keras.io/examples/vision/image_classification_from_scratch/#two-options-to-preprocess-the-data
Relevant log output