Deep Learning’s Black Box: Understanding Interpretability Challenges
Deep learning has revolutionized numerous fields, from image recognition and natural language processing to drug discovery and finance. Its ability to extract complex patterns from vast datasets has led to unprecedented performance on a wide range of tasks. However, this power comes at a cost: deep learning models are often considered “black boxes,” meaning their […]
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