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This sounds like the scientific equivalent of "overfitting" in machine learning. The point of a theory is not to predict the training set well, but to generali
by narrator 10y ago
This sounds like the scientific equivalent of "overfitting" in machine learning. The point of a theory is not to predict the training set well, but to generalize well to new cases. This is what string theory fails at.
- zamalek 10y agoNNs are modeled after the human brain. It's not an immensely crazy to point out that we could be overfitting ourselves by continuously exposing ourselves to a single theory.
- wolfgke 10y agoThe successful backpropagation algorithm works completely different from anything that has been observed in the human brain up to now.