Python Deep Learning Projects

Defining hyperparameters for GAN

The following are some of the hyperparameters defined that we will be using throughout the code and are totally configurable:

# Smoothing valuesmooth_real = 0.9# Number of epochsepochs = 5# Batchsizebatch_size = 128# Optimizer for the generatoroptimizer_g = Adam(lr=0.0002, beta_1=0.5)# Optimizer for the discriminatoroptimizer_d = Adam(lr=0.0004, beta_1=0.5)# Shape of the input imageinput_shape = (28,28,1)

Experiment with different learning rates, optimizers, batch sizes, and smoothing values to see how these factors affect the quality of your model and, if you get better results, show it to the deep learning community.