Spaces:
Sleeping
Sleeping
| [net] | |
| batch=1 | |
| subdivisions=1 | |
| height=19 | |
| width=19 | |
| channels=1 | |
| momentum=0.9 | |
| decay=0.0005 | |
| learning_rate=0.01 | |
| policy=poly | |
| power=4 | |
| max_batches=100000 | |
| [convolutional] | |
| filters=256 | |
| size=3 | |
| stride=1 | |
| pad=1 | |
| activation=relu | |
| batch_normalize=1 | |
| [convolutional] | |
| filters=256 | |
| size=3 | |
| stride=1 | |
| pad=1 | |
| activation=relu | |
| batch_normalize=1 | |
| [convolutional] | |
| filters=256 | |
| size=3 | |
| stride=1 | |
| pad=1 | |
| activation=relu | |
| batch_normalize=1 | |
| [convolutional] | |
| filters=256 | |
| size=3 | |
| stride=1 | |
| pad=1 | |
| activation=relu | |
| batch_normalize=1 | |
| [convolutional] | |
| filters=256 | |
| size=3 | |
| stride=1 | |
| pad=1 | |
| activation=relu | |
| batch_normalize=1 | |
| [convolutional] | |
| filters=256 | |
| size=3 | |
| stride=1 | |
| pad=1 | |
| activation=relu | |
| batch_normalize=1 | |
| [convolutional] | |
| filters=256 | |
| size=3 | |
| stride=1 | |
| pad=1 | |
| activation=relu | |
| batch_normalize=1 | |
| [convolutional] | |
| filters=256 | |
| size=3 | |
| stride=1 | |
| pad=1 | |
| activation=relu | |
| batch_normalize=1 | |
| [convolutional] | |
| filters=256 | |
| size=3 | |
| stride=1 | |
| pad=1 | |
| activation=relu | |
| batch_normalize=1 | |
| [convolutional] | |
| filters=256 | |
| size=3 | |
| stride=1 | |
| pad=1 | |
| activation=relu | |
| batch_normalize=1 | |
| [convolutional] | |
| filters=256 | |
| size=3 | |
| stride=1 | |
| pad=1 | |
| activation=relu | |
| batch_normalize=1 | |
| [convolutional] | |
| filters=256 | |
| size=3 | |
| stride=1 | |
| pad=1 | |
| activation=relu | |
| batch_normalize=1 | |
| [convolutional] | |
| filters=256 | |
| size=3 | |
| stride=1 | |
| pad=1 | |
| activation=relu | |
| batch_normalize=1 | |
| [convolutional] | |
| filters=1 | |
| size=1 | |
| stride=1 | |
| pad=1 | |
| activation=linear | |
| [reorg] | |
| extra=1 | |
| stride=1 | |
| [softmax] | |