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Oct 10 at 13:33 comment added Ben Reiniger @Valentas or, if the NN is doing regression, the final activation function might be linear, so that the transfer learning step of refitting the last layer only is exactly linear regression, with a closed-form solution.
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Jan 30, 2022 at 9:35 comment added Valentas A neural network with all layers except the final frozen and with the sigmoid activation for the final is the same as logistic regression. Logistic regression is usually optimized by gradient descent. So you seem to juxtaposing two things that are actually the same thing (except in the case you want to later unfreeze the weights of the NN it makes it easier implementation-wise as in the answer).
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Apr 3, 2021 at 0:41 answer added grov timeline score: 0
Apr 2, 2021 at 8:35 history asked Funkwecker CC BY-SA 4.0