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

The video tutorial explains the need for a custom data generator instead of using Karas due to specific customization requirements. It covers the initialization method, focusing on the importance of mode for training, validation, and testing. The tutorial discusses batch processing, dimensions, and shuffling to optimize memory usage. It also explains handling data paths, list IDs, and labels, and concludes with details on the data generation method, emphasizing the benefits of customization for better results.

How does the data generator handle batch processing of images?

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What are the dimensions of the images being processed in the data generator?

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What is the expected output shape of the data generation method?

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