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That is a blatant oversimplification and not true. There are both similarities and differences. New ANN training methods are inspired by studies of biological n
by xcv123 2y ago
That is a blatant oversimplification and not true. There are both similarities and differences. New ANN training methods are inspired by studies of biological neural networks (Dropout Regularization is one example)
- imtringued 2y agoYou can't implement backpropagation biologically. The fact that you didn't even mention spiking neural networks speaks volumes. Those are heavily biologically inspired and yet they have fallen behind ANNs precisely because backpropagation doesn't work on them.
- xcv123 2y agoThat is missing the forest for the trees. Human cognition is more similar to a learned connectionist model versus an explicitly programmed rules-based model.