Understanding Loss Functions
Blake discusses the significance of loss and reward functions in both artificial intelligence and neuroscience, emphasizing their role in quantifying norms for intelligent systems. He argues that understanding what neural circuits are optimized for can provide deeper insights into brain function, despite the complexity of parallel computations occurring within. This perspective opens up new avenues for interpreting neural data and understanding behavior.In this clip
From this podcast
Super Data Science: ML & AI Podcast with Jon Krohn
729: Universal Principles of Intelligence (Across Humans and Machines) — with Prof. Blake Richards
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