Timeline for What is the actual learning algorithm: back-propagation or gradient descent?
Current License: CC BY-SA 4.0
10 events
| when toggle format | what | by | license | comment | |
|---|---|---|---|---|---|
| Nov 17, 2018 at 12:45 | comment | added | nbro | "If there are no hidden units, no learning happens. If there are hidden units, they learn internal representation by propagating error back.", this is a property of the model, not of the learning algorithm. | |
| Nov 17, 2018 at 1:01 | history | edited | Sreedhar Veluri | CC BY-SA 4.0 |
adding more details to the question
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| Nov 15, 2018 at 13:51 | answer | added | nbro | timeline score: 5 | |
| Nov 14, 2018 at 21:28 | comment | added | nbro | See also the discussion here: stackoverflow.com/q/37953585/3924118. | |
| Nov 14, 2018 at 8:14 | answer | added | Neil Slater | timeline score: 7 | |
| S Nov 14, 2018 at 7:45 | history | suggested | nbro | CC BY-SA 4.0 |
A few improvements
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| Nov 14, 2018 at 6:34 | answer | added | Martin Thoma | timeline score: 1 | |
| Nov 14, 2018 at 0:16 | review | Suggested edits | |||
| S Nov 14, 2018 at 7:45 | |||||
| Nov 14, 2018 at 0:05 | review | Low quality posts | |||
| Nov 14, 2018 at 7:45 | |||||
| Nov 13, 2018 at 23:49 | history | asked | Sreedhar Veluri | CC BY-SA 4.0 |