Generative Adversarial Networks in Tensorflow - Linux Shell
My GitHub project on GANs to be run via Windows/Linux shell command
Instructions:
$ git clone https://github.com/RubensZimbres/GAN-Project-2018
$ cd GAN-Project-2018
If you are sure all the libraries in requirements.txt are installed, go to $ python main.py ...
$ conda install --yes --file requirements.txt
$ python main.py --epoch=4000 --learning_rate=0.0002 --your_login=rubens
Arguments:
--epoch: default=5000
--learning_rate: default=0.0001
--sample_size: default=60
--gen_hidden: # hidden nodes in generator: default=80
--disc_hidden: # hidden nodes in discriminator: default=80
--your_login: your login in your OS: default:rubens
Tensorboard will start AFTER you close the pop-up (GAN output with MNIST digits)
