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

The video tutorial covers image preprocessing techniques, focusing on scaling and rescaling images using min-max normalization instead of dividing by 255. It discusses the impact of rescaling on image quality and the importance of problem-specific considerations, such as detecting anomalies. The tutorial also explains augmentation techniques for training, emphasizing the need for computational resources. Finally, it highlights the application of learned techniques to different datasets, stressing the importance of understanding problem dependencies.

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