Update training parameters.

enhance.py

@@ -48,11 +48,11 @@
 add_arg('--epoch-size',         default=72, type=int,               help='Number of batches trained in an epoch.')
 add_arg('--save-every',         default=10, type=int,               help='Save generator after every training epoch.')
 add_arg('--batch-shape',        default=192, type=int,              help='Resolution of images in training batch.')
-add_arg('--batch-size',         default=10, type=int,               help='Number of images per training batch.')
+add_arg('--batch-size',         default=15, type=int,               help='Number of images per training batch.')
 add_arg('--buffer-size',        default=1500, type=int,             help='Total image fragments kept in cache.')
 add_arg('--buffer-similar',     default=5, type=int,                help='Fragments cached for each image loaded.')
-add_arg('--learning-rate',      default=5E-4, type=float,           help='Parameter for the ADAM optimizer.')
-add_arg('--learning-period',    default=100, type=int,              help='How often to decay the learning rate.')
+add_arg('--learning-rate',      default=1E-4, type=float,           help='Parameter for the ADAM optimizer.')
+add_arg('--learning-period',    default=50, type=int,               help='How often to decay the learning rate.')
 add_arg('--learning-decay',     default=0.5, type=float,            help='How much to decay the learning rate.')
 add_arg('--generator-upscale',  default=2, type=int,                help='Steps of 2x up-sampling as post-process.')
 add_arg('--generator-downscale',default=0, type=int,                help='Steps of 2x down-sampling as preprocess.')