Timeline for How are vectors and matrices multiplied in supervised machine learning?
Current License: CC BY-SA 4.0
11 events
| when toggle format | what | by | license | comment | |
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| S Feb 13, 2019 at 2:35 | history | suggested | nbro | CC BY-SA 4.0 |
Fixed the title
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| Feb 11, 2019 at 21:54 | review | Suggested edits | |||
| S Feb 13, 2019 at 2:35 | |||||
| S Feb 11, 2019 at 21:22 | history | edited | DukeZhou | CC BY-SA 4.0 |
I maintained the "supervised" in the title
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| S Feb 11, 2019 at 21:22 | history | suggested | nbro | CC BY-SA 4.0 |
A few improvements
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| Feb 9, 2019 at 13:27 | review | Suggested edits | |||
| S Feb 11, 2019 at 21:22 | |||||
| Feb 9, 2019 at 12:13 | answer | added | nbro | timeline score: 1 | |
| Feb 9, 2019 at 12:06 | comment | added | sirshakir | I the deep learning algorithm; I might have vector of three(columns) inputs. I also would have three weights. Each weight would have a vector of three columns to correspond With each input. These weights would be stored in matrix. The box gives an example of element wise multiplication with a 1x4 times 2x5 and states they don’t have same number of columns so it throws error. On the next page it give example of 1x4 times 4x3 and states the output is a 1x3 vector. This is contradicting. | |
| Feb 9, 2019 at 12:04 | history | edited | sirshakir | CC BY-SA 4.0 |
added 116 characters in body
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| Feb 9, 2019 at 11:49 | history | edited | quintumnia | CC BY-SA 4.0 |
improved text format.
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| Feb 9, 2019 at 11:25 | review | First posts | |||
| Feb 9, 2019 at 11:49 | |||||
| Feb 9, 2019 at 11:24 | history | asked | sirshakir | CC BY-SA 4.0 |