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Not to mention that as a practical matter, the ability to train a neural network with backpropagation is important to get results that actually converge in a re
by eklitzke 8y ago
Not to mention that as a practical matter, the ability to train a neural network with backpropagation is important to get results that actually converge in a reasonable amount of time. It's not useful to say "but you could just use a polynomial regression" if you can't actually generate the equivalent polynomial regression in the same amount of time that you can train a neural network.
- scottlocklin 8y agoI'm not sure that's actually correct. In fact I'm sure it is incorrect for a polynomial of degree 1. Otherwise, there's nothing special about relu or tanh that you can't use sequential/backprop on polynomial regression in general.