Timeline for Neural Network vs Linear regression
Current License: CC BY-SA 4.0
7 events
| when toggle format | what | by | license | comment | |
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| Jul 17, 2022 at 9:13 | vote | accept | Salivan | ||
| Jul 16, 2022 at 19:38 | history | edited | Tim | CC BY-SA 4.0 |
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| Jul 16, 2022 at 18:59 | comment | added | Tim | @shem yes, but the convergence would depend on batch size, learning rate, and potentially other parameters of the optimizer, also you need to train long enough but you never know how long is that. | |
| Jul 16, 2022 at 18:59 | comment | added | usεr11852 | @shem Regularisation changes the objective function. | |
| Jul 16, 2022 at 18:49 | comment | added | shem | Assuming standard squared error loss, this is a convex optimisation problem hence is it not the case that the gradient descent solution will be guaranteed to be equivalent to the OLS solution? | |
| Jul 16, 2022 at 18:37 | history | edited | Tim | CC BY-SA 4.0 |
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| Jul 16, 2022 at 18:30 | history | answered | Tim | CC BY-SA 4.0 |