wide_resnet.ini

[info]
experiment: Wide Residual Network default settings
name: resnet

[dataset]
pixels: 224
n_classes: 3
channels: 3
data_level: 0
subset: None
subset_train: 1352 670 832 ;
subset_validation: 316 135 305 ;
filenames_train: None ;NOT USED
filenames_validation: None :NOT USED
data_folder: /mnt/rdstorage1/Userdata/Guido/BreastDataset


[network]
architecture: resnet
input_size: 224
depth: 5
branching_factor: 4
batch_normalization: True

[updates]
optimization: nesterov
learning_rate: 0 ;Schedule is used instead
momentum: 0.9 ;Not used yet
l2_lambda: 0.0001 ;Not used yet
batch_size_train: 6
batch_size_validation: 12
n_epochs: 200
epoch_samples_train: 600
epoch_samples_validation: 600

[normalization]
zero_center: True
mean_pixel: 0.79704494411170501 0.61885510553571943 0.71202771615037175

[augmentation]
augment: False ;All augmentation to be implemented
flip: True
zoom: 0.08
rotation: 16
translation: 3


[misc]
multiprocess_load_augmentation: True
n_workers_load_augmentation: 6
save_every_n_epoch: 2