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#105 - Dr. MICHAEL OLIVER [CSO - Numerai]
Machine Learning Street Talk (MLST)
The Complexity of a Neural Network
I'm interested in the intelligibility of systems when you model them at the microscopic scale, because that's something that we struggle with. And also you mentioned dynamical systems. That describes a system where you're kind of like iteratively changing things over time. In real neural networks in our brain, it's so much more complicated than that. We have all of these like feedback connections and reflexivity and complexity. It's crazy.
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