Timeline for Why use gradient descent for linear regression, when a closed-form math solution is available?
Current License: CC BY-SA 4.0
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| Sep 18, 2019 at 14:16 | history | edited | Sycorax♦ | CC BY-SA 4.0 |
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| May 10, 2017 at 20:45 | comment | added | cfh | Regularization by early stopping is by no means a new technique; it's a well known technique in, say, Landweber iteration: en.wikipedia.org/wiki/Landweber_iteration | |
| May 10, 2017 at 20:27 | comment | added | Batman | You could look at Chapter 7 of Deep learning by Goodfellow et al , which mentions early stopping to prevent overfitting in neural nets. | |
| May 10, 2017 at 19:26 | comment | added | Haitao Du | For overfitting statement, could you provide the link? is adding the regularization term better than limiting number of the iterations? | |
| May 10, 2017 at 17:59 | history | answered | Tim Atreides | CC BY-SA 3.0 |