#AnimeGen
Anime Face Genration with the help of dcgan
usage: train.py [-h] -r DATAROOT -n NEPOCHS [--lr [LR]] -sv SAVEMOD
[--beta [BETA]] [--bs [BS]] [--ngpu [NGPU]]
[--workers [WORKERS]] [--anm [ANM]]
optional arguments:
-h, --help show this help message and exit
-r DATAROOT, --dataroot DATAROOT
root image directory
-n NEPOCHS, --nepochs NEPOCHS
no of epochs to run
--lr [LR] learning rate
-sv SAVEMOD, --savemod SAVEMOD
directory to save model
--beta [BETA] beta hyperparam for adam opt
--bs [BS] batch size default 128
--ngpu [NGPU] no of GPU
--workers [WORKERS] no of workers to load more workers==more memory
usage==faster data loading
--anm [ANM] should create animatopn
Training Process
