Implementation of DCGAN in Keras to generate new images (https://arxiv.org/pdf/1511.06434.pdf)
Training mode:
python main.py --mode train --data_path <directory_path> --batch_size <desired_batch_size>
Generation mode:
python main.py --mode generate --batch_size <number_of_images_to_generate>
--mode choose between the two modes: (train, generate)
--batch_size The size of each batch (default: 128)
--learning_rate The learning rate for the Adam optimizers (default: 0.0002)
--beta_1 The beta 1 value for the Adam optimizers (default: 0.5)
--epochs The amount of epochs the network should train (default: 100)
--data_path The path to the images that should be used for training