|
|
|
| The root mean squared error in the orientation |
||
| when combining GP’s with deep belief nets |
||
|
|
|
| GP
on |
||
| the |
||
| pixels |
||
|
|
|
| GP on |
||
| top-level |
||
| features |
||
|
|
|
| GP
on top-level |
||
| features
with |
||
| fine-tuning |
||
| 100 labels |
| 500 labels |
| 1000 labels |
| 22.2 17.9 15.2 |
| 17.2 12.7 7.2 |
| 16.3 11.2 6.4 |
|
|
| Conclusion: The
deep features are much better |
|
| than the pixels.
Fine-tuning helps a lot. |
|