DCGAN Models
Generator and Discriminator Relationship
In order to build this model, I learned how to use a discriminator as the point of loss for an image generator. Using convolutional transpositions, a generator could produce an image for a discriminator to discern whether it is real or fake. If the discriminator guesses correctly, the generator learns, if not, the discriminator learns.
