Timeline for How to get real-valued continous output from Neural Network?
Current License: CC BY-SA 3.0
4 events
| when toggle format | what | by | license | comment | |
|---|---|---|---|---|---|
| May 23, 2018 at 18:57 | comment | added | Smarty77 | But since sigmoid is non-linear, with uniform distribution sampling the value of sigmoid we would probably get something close to 1 or close to 0. Which means we have to learn our network to pick values in the middle more carefully. Is sigmoid+scaling really a good choice to go for? | |
| Apr 15, 2012 at 15:01 | comment | added | alfa | To scale element $e \in [a,b]$ to an interval $[c,d]$ you have to calculate $\frac{e-a}{b-a} \cdot (d-c)+c$. | |
| Apr 15, 2012 at 11:57 | comment | added | User | What is the correct way to scale the neural network output to the range [-5,5]? | |
| Apr 15, 2012 at 10:57 | history | answered | alfa | CC BY-SA 3.0 |