Python notebook containing TensorFlow DCGAN implementation. It was trained on a Celebrities dataset.
Check out corresponding Medium article: Face Generator - Generating Artificial Faces with Machine Learning 🧑.
Check out corresponding Kaggle kernel: Face Generator.
Network architecture by Radford et al., 2015.
Visualization of training with the following hyperparameteres.
DATASET_SIZE = 100000
IMAGE_SIZE = 128
NOISE_SIZE = 100
LR_D = 0.00004
LR_G = 0.0002
BATCH_SIZE = 64
EPOCHS = 60
BETA1 = 0.5
WEIGHT_INIT_STDDEV = 0.02
EPSILON = 0.00005
Generated samples after 60 epochs of training.
Mike star
