Evaluate the impact of an AI application used in the real world. (case study) : Working with Flower Images: Case Study -

The video tutorial discusses image augmentation techniques in Keras, emphasizing the use of custom data generators for training. It highlights the importance of applying augmentation during the training phase and provides a code implementation guide. The tutorial also advises using the AUC curve over accuracy for evaluating model performance, especially with imbalanced data, and introduces a callback function to store AUC values during training.

How does the augmentation process integrate with the data generator in Keras?

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What adjustments can be made to the augmentation code as per user requirements?

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