exp_configuration

[EXPERIMENT_SETTINGS]

source_dataset = mnist
target_dataset = svhn
no_images = 10000

[MAIN_SETTINGS]

# training iterations
train_iters = 10001
# number of samples in each batch
batch_size = 32
# learning rate min
learning_rate_min = 0.0001
# learning rate max
learning_rate_max = 1.0
# gamma 
gamma = 1.0
# max iterations
T_adv = 15
# min iterations
T_min = 100
# number of adversarial phases
k = 6

[MODEL_SETTINGS]
# number of classes
no_classes = 10
# number of color channels
no_channels = 3
# size of the images
img_size = 32