Timeline for Is pooling a kind of dropout?
Current License: CC BY-SA 4.0
4 events
| when toggle format | what | by | license | comment | |
|---|---|---|---|---|---|
| Dec 20, 2018 at 12:39 | vote | accept | nsaura | ||
| Dec 18, 2018 at 9:20 | comment | added | Mark.F | The dropout would be used after the pooling layers. I will say that it is very uncommon to use dropout in the convolution layers. In the convolution layers it can be viewed as adding occlusion, which helps the model to focus on smaller features. | |
| Dec 17, 2018 at 13:54 | comment | added | nsaura | Clean answer thank you. If I understood well, features maps in CNN are linked through convolution and pooling layers. Where could we introduce the drop out ? (In dense connection weights are obvious, and so is the gain in sparsity) | |
| Dec 17, 2018 at 12:43 | history | answered | Mark.F | CC BY-SA 4.0 |