Timeline for How backpropagation through gradient descent represents the error after each forward pass
Current License: CC BY-SA 3.0
5 events
| when toggle format | what | by | license | comment | |
|---|---|---|---|---|---|
| Dec 14, 2017 at 17:39 | comment | added | Ricardo Cruz | The loss function will output a single value, whether you have one observation or many. For instance, $MSE=\sum_i (y_i -\hat y_i)^2$. | |
| Dec 10, 2017 at 4:14 | answer | added | Kari | timeline score: 3 | |
| Dec 9, 2017 at 14:01 | history | edited | Katherine | CC BY-SA 3.0 |
added 41 characters in body
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| Dec 9, 2017 at 13:56 | review | First posts | |||
| Dec 9, 2017 at 13:57 | |||||
| Dec 9, 2017 at 13:52 | history | asked | Katherine | CC BY-SA 3.0 |