Machine Learning, Data Science, Deep Learning, Artificial Intelligence, Towards Data Science.
import backend as K import random from keras import metrics from tqdm import tqdm # plotInternal plotInternal = 50 ####### latent_dim = 256 batch_size = 256 rows = 64 columns = 64 channel = 3 epochs = 4000 # datasize = len(dataset) # optimizers SGDop = SGD(lr=0.0003) ADAMop = Adam(lr=0.0002) #