Learning Through Feedback
Deep learning models excel at providing directionally accurate information, but they require careful verification to ensure true accuracy. Observing children reveals that their learning is an active process, characterized by feedback loops where they set goals based on prior knowledge, experiment, and refine their skills through experience. This layered approach to learning highlights the importance of building upon existing capabilities as they grow.In this clip
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Machine Learning Street Talk (MLST)
Pattern Recognition vs True Intelligence - Francois Chollet
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