Timeline for Why does standardizing my data cause better results? [duplicate]
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7 events
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| Jul 26, 2019 at 12:24 | history | closed | Sycorax♦ neural-networks Users with the neural-networks badge or a synonym can single-handedly close neural-networks questions as duplicates and reopen them as needed. | Duplicate of How and why do normalization and feature scaling work? | |
| Mar 31, 2017 at 10:20 | answer | added | phanny | timeline score: 1 | |
| Mar 13, 2017 at 11:00 | history | tweeted | twitter.com/StackStats/status/841242559695507456 | ||
| Mar 13, 2017 at 10:42 | comment | added | user20160 | Trying to understand the situation. You have 2 variables: scaled vs. non-scaled, and SGD vs. batch gradient descent, so 4 possible combinations. Can you tell us the training and test set error for each of these configurations? Or, if you have time, plot learning rate curves for each. Also, what kind of hyperparameters do you have, and what procedure are you using to set them in each case? | |
| Mar 13, 2017 at 7:03 | history | edited | Felipe | CC BY-SA 3.0 |
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| Mar 13, 2017 at 6:58 | history | edited | Felipe | CC BY-SA 3.0 |
added 18 characters in body
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| Mar 13, 2017 at 5:05 | history | asked | Felipe | CC BY-SA 3.0 |