Timeline for Batch gradient descent versus stochastic gradient descent
Current License: CC BY-SA 4.0
17 events
| when toggle format | what | by | license | comment | |
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| Jul 26 at 12:47 | review | Suggested edits | |||
| Jul 26 at 13:24 | |||||
| Jul 26 at 12:45 | answer | added | Super Kai - Kazuya Ito | timeline score: 0 | |
| Mar 6, 2023 at 3:22 | answer | added | aerin | timeline score: 2 | |
| Sep 11, 2022 at 18:00 | history | tweeted | twitter.com/StackStats/status/1569022975134818308 | ||
| S Sep 3, 2022 at 18:38 | history | suggested | Dom | CC BY-SA 4.0 |
Fixed a missing bracket
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| Sep 3, 2022 at 14:16 | review | Suggested edits | |||
| S Sep 3, 2022 at 18:38 | |||||
| Oct 23, 2021 at 22:06 | answer | added | maroxe | timeline score: 0 | |
| Mar 23, 2021 at 8:19 | answer | added | Good Luck | timeline score: 0 | |
| S Sep 14, 2019 at 22:25 | history | suggested | user230053 | CC BY-SA 4.0 |
Quote to bold. One tag.
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| Sep 14, 2019 at 21:00 | review | Suggested edits | |||
| S Sep 14, 2019 at 22:25 | |||||
| Jun 20, 2018 at 7:46 | history | edited | Ferdi |
edited tags
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| Mar 30, 2018 at 22:18 | answer | added | Xiao-Feng Li | timeline score: 19 | |
| S Aug 24, 2017 at 20:32 | history | suggested | a5ai8 | CC BY-SA 3.0 |
per Raghav RV's comment, since xi in the training set $(x_{i}, y_{i})$ is a vector with n features (n being different from size of the training set m), I modified the indexes
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| Aug 24, 2017 at 19:10 | review | Suggested edits | |||
| S Aug 24, 2017 at 20:32 | |||||
| Jun 6, 2015 at 4:20 | answer | added | Sven Ahlinder | timeline score: 3 | |
| Aug 26, 2013 at 7:38 | answer | added | Jason_L_Bens | timeline score: 187 | |
| Feb 7, 2013 at 19:34 | history | asked | user20616 | CC BY-SA 3.0 |