optional arguments:
-h, –help show this help message and exit
–n_epochs N_EPOCHS number of epochs of training
–batch_size BATCH_SIZE
size of the batches
–lr LR adam: learning rate
–b1 B1 adam: decay of first order momentum of gradient
–b2 B2 adam: decay of first order momentum of gradient
–n_cpu N_CPU number of cpu threads to use during batch generation
–latent_dim LATENT_DIM
dimensionality of the latent space
–n_classes N_CLASSES
number of classes for dataset
–img_size IMG_SIZE size of each image dimension
–channels CHANNELS number of image channels
–sample_interval SAMPLE_INTERVAL
interval between image sampling
Conditional GAN
usage:
optional arguments: -h, –help show this help message and exit –n_epochs N_EPOCHS number of epochs of training –batch_size BATCH_SIZE size of the batches –lr LR adam: learning rate –b1 B1 adam: decay of first order momentum of gradient –b2 B2 adam: decay of first order momentum of gradient –n_cpu N_CPU number of cpu threads to use during batch generation –latent_dim LATENT_DIM dimensionality of the latent space –n_classes N_CLASSES number of classes for dataset –img_size IMG_SIZE size of each image dimension –channels CHANNELS number of image channels –sample_interval SAMPLE_INTERVAL interval between image sampling