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Explaining AI explainability

Practical AI

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Navigating Machine Learning in Computer Vision

This chapter explores the complexities of applying machine learning models in computer vision, focusing on the balance between using existing models and custom networks. It highlights the critical role of human insight in AI processes and emphasizes the importance of explainability and transparency in decision-making within machine learning systems.

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