Data Science, Machine Learning, Deep Learning, Artificial Intelligence, Computer Vision.
objective of the GAN is to find an equilibrium point where the generator produces realistic samples that the discriminator cannot distinguish from real samples. Loss Function The loss function plays a crucial role in GAN training. For the discriminator, the loss is typically the sum of two