The discriminator's objective will train it to distinguish between a sample x from training data X , and a generated samplex, in a binary classification setup.
we define the discriminator loss for x,x as follows: 2.3 Learning Generator parameters θ and discriminator parameters φ are trained together under following objective: Note, in addition to using a traditional adversarial objective, we also include a likelihood term to help stabilize the generator.